{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/gregorylove/Dropbox/jeps submission/R&R Efforts/Final Jan'19/data/JEPS Log file.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 9 Jan 2019, 14:09:31
{txt}
{com}. use "study 1 data", clear
{txt}
{com}. 
. 
. ***black partisan subjects only
. ttest p1_da if black==1, by(pid_da)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
ANC Iden {c |}{res}{col 12}     87{col 22} 3.183908{col 34} .3292433{col 46} 3.070977{col 58} 2.529394{col 70} 3.838422
{txt}DA Ident {c |}{res}{col 12}     28{col 22} 4.142857{col 34} .5136092{col 46} 2.717764{col 58} 3.089018{col 70} 5.196696
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    115{col 22} 3.417391{col 34} .2802915{col 46} 3.005792{col 58} 2.862136{col 70} 3.972647
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.9589491{col 34} .6497349{col 58}-2.246191{col 70}  .328293
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}ANC Iden{txt}) - mean({res}DA Ident{txt})                        t = {res} -1.4759
{txt}Ho: diff = 0                                     degrees of freedom = {res}     113

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0714         {txt}Pr(|T| > |t|) = {res}0.1427          {txt}Pr(T > t) = {res}0.9286
{txt}
{com}. ttest p1_anc if black==1, by(pid_da)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
ANC Iden {c |}{res}{col 12}     86{col 22} 3.918605{col 34} .2913317{col 46} 2.701699{col 58} 3.339359{col 70}  4.49785
{txt}DA Ident {c |}{res}{col 12}     28{col 22} 2.607143{col 34} .3894756{col 46} 2.060911{col 58} 1.808005{col 70} 3.406281
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    114{col 22} 3.596491{col 34} .2447141{col 46} 2.612832{col 58} 3.111668{col 70} 4.081314
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} 1.311462{col 34} .5574308{col 58} .2069841{col 70}  2.41594
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}ANC Iden{txt}) - mean({res}DA Ident{txt})                        t = {res}  2.3527
{txt}Ho: diff = 0                                     degrees of freedom = {res}     112

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9898         {txt}Pr(|T| > |t|) = {res}0.0204          {txt}Pr(T > t) = {res}0.0102
{txt}
{com}. 
. ttest p1_anc=p1_da if pid_da_non_identifier==0 & black==1

{txt}Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
  p1_anc {c |}{res}{col 12}     82{col 22}      3.5{col 34} .3036712{col 46}  2.74986{col 58}  2.89579{col 70}  4.10421
   {txt}p1_da {c |}{res}{col 12}     82{col 22} 3.817073{col 34} .3492703{col 46} 3.162778{col 58} 3.122135{col 70} 4.512012
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}     82{col 22}-.3170732{col 34} .2786588{col 46} 2.523363{col 58}-.8715168{col 70} .2373704
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}p1_anc{txt} - {res}p1_da{txt})                            t = {res} -1.1379
{txt} Ho: mean(diff) = 0                              degrees of freedom = {res}      81

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.1293         {txt}Pr(|T| > |t|) = {res}0.2585          {txt}Pr(T > t) = {res}0.8707
{txt}
{com}. ttest p1_da if  black==1 & p1_anon~=., by (pid_da_non_identifier)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
Non-Iden {c |}{res}{col 12}     82{col 22} 3.817073{col 34} .3492703{col 46} 3.162778{col 58} 3.122135{col 70} 4.512012
      {txt}DA {c |}{res}{col 12}     28{col 22} 4.142857{col 34} .5136092{col 46} 2.717764{col 58} 3.089018{col 70} 5.196696
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    110{col 22}      3.9{col 34} .2905087{col 46} 3.046881{col 58} 3.324221{col 70} 4.475779
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} -.325784{col 34} .6692547{col 58}-1.652363{col 70} 1.000795
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Non-Iden{txt}) - mean({res}DA{txt})                              t = {res} -0.4868
{txt}Ho: diff = 0                                     degrees of freedom = {res}     108

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3137         {txt}Pr(|T| > |t|) = {res}0.6274          {txt}Pr(T > t) = {res}0.6863
{txt}
{com}. 
. 
. **mean partisan and racial trust gaps by PID
. mean p1_diff_pid p1_diff_race, over(pid_da)
{res}
{txt}Mean estimation{col 35}Number of obs{col 51}= {res}       262

    {txt}_subpop_1: pid_da = {res}ANC Identifiers
    {txt}_subpop_2: pid_da = {res}DA Identifiers

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 1}        Over{col 14}{c |}       Mean{col 26}   Std. Err.{col 38}     [95% Con{col 51}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{res}p1_diff_pid  {txt}{c |}
{space 3}_subpop_1 {c |}{col 14}{res}{space 2} .6785714{col 26}{space 2} .3063493{col 37}{space 5} .0753407{col 51}{space 3} 1.281802
{txt}{space 3}_subpop_2 {c |}{col 14}{res}{space 2} 1.522472{col 26}{space 2} .1885784{col 37}{space 5} 1.151143{col 51}{space 3} 1.893801
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{res}p1_diff_race {txt}{c |}
{space 3}_subpop_1 {c |}{col 14}{res}{space 2} .7619048{col 26}{space 2} .3139604{col 37}{space 5} .1436869{col 51}{space 3} 1.380123
{txt}{space 3}_subpop_2 {c |}{col 14}{res}{space 2} .3426966{col 26}{space 2}  .115197{col 37}{space 5} .1158629{col 51}{space 3} .5695304
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}

{com}. 
. **Figures 1 and 2
. ciplot p1_anon p1_da p1_anc, by(pid_anc) title("Fig. 1. Mean Ticket Allocations by Treatment and Partisanship, 95% c.i.", size(medium)) ylabel(2(1) 6) note("")   xlabel(, valuelabels)  scheme(s2color) graphregion(fcolor(white) lcolor(white)) xtitle("") xline(7.5, lcolor(black)) legend(rows(1)) ytitle("Tickets Sent")
{res}{txt}
{com}. *graph save "figure 1"
. 
. ciplot p1_diff_pid p1_diff_race, by(pid_anc)  title("Fig. 2. Trust Gaps by Type and Partisanship, 95% c.i.", size(medium)) ylabel(0(.5) 2) note("")   xlabel(, valuelabels)  scheme(s2color) graphregion(fcolor(white) lcolor(white)) xtitle("") xline(5.5, lcolor(black)) legend(rows(1)) ytitle("Trust Gap (in Tickets)")
{res}{txt}
{com}. *graph save "figure 2"
. 
. ciplot p1_anon p1_da p1_anc p1_white p1_black, by(pid_anc) title("Fig. 1. Mean Ticket Allocations by Treatment and Partisanship, 95% c.i.", size(medium)) ylabel(2(1) 6) note("")   xlabel(, valuelabels)  scheme(s2color) graphregion(fcolor(white) lcolor(white)) xtitle("") xline(11.5, lcolor(black)) legend(rows(2)) ytitle("Tickets Sent")
{res}{txt}
{com}. ciplot p1_anon p1_da p1_anc p1_white p1_black, by(white_black) title("Fig. 1. Mean Ticket Allocations by Treatment and Race, 95% c.i.", size(medium)) ylabel(2(1) 6) note("")   xlabel(, valuelabels)  scheme(s2color) graphregion(fcolor(white) lcolor(white)) xtitle("") xline(11.5, lcolor(black)) legend(rows(2)) ytitle("Tickets Sent")
{res}{txt}
{com}. 
. 
. **descriptive stats SM1
. sum p1_anon p1_anc p1_da p1_black p1_white p1_same_pid p1_rival_pid p1_same_race p1_rival_race if pid_da~=.

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}p1_anon {c |}{res}        348    4.517241    2.786803          0         10
{txt}{space 6}p1_anc {c |}{res}        338    3.630178    2.745794          0         10
{txt}{space 7}p1_da {c |}{res}        341    4.375367    3.020495          0         10
{txt}{space 4}p1_black {c |}{res}        333    4.321321    2.754306          0         10
{txt}{space 4}p1_white {c |}{res}        337    4.154303    2.777448          0         10
{txt}{hline 13}{c +}{hline 57}
{space 1}p1_same_pid {c |}{res}        338    4.627219     2.83316          0         10
{txt}p1_rival_pid {c |}{res}        341    3.387097    2.854771          0         10
{txt}p1_same_race {c |}{res}        263    4.722433    2.760641          0         10
{txt}p1_rival_r~e {c |}{res}        265    4.226415    2.855361          0         10
{txt}
{com}. sum p1_anon p1_anc p1_da p1_black p1_white p1_same_pid p1_rival_pid p1_same_race p1_rival_race if pid_da==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}p1_anon {c |}{res}        238    4.756303    2.714134          0         10
{txt}{space 6}p1_anc {c |}{res}        235    3.506383    2.758623          0         10
{txt}{space 7}p1_da {c |}{res}        235    4.940426    2.835343          0         10
{txt}{space 4}p1_black {c |}{res}        233    4.424893    2.815395          0         10
{txt}{space 4}p1_white {c |}{res}        234    4.512821    2.728377          0         10
{txt}{hline 13}{c +}{hline 57}
{space 1}p1_same_pid {c |}{res}        235    4.940426    2.835343          0         10
{txt}p1_rival_pid {c |}{res}        235    3.506383    2.758623          0         10
{txt}p1_same_race {c |}{res}        178    4.983146     2.80128          0         10
{txt}p1_rival_r~e {c |}{res}        178    4.640449    2.813395          0         10
{txt}
{com}. sum p1_anon p1_anc p1_da p1_black p1_white p1_same_pid p1_rival_pid p1_same_race p1_rival_race if pid_anc==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}p1_anon {c |}{res}        110           4    2.883041          0         10
{txt}{space 6}p1_anc {c |}{res}        103    3.912621    2.708399          0         10
{txt}{space 7}p1_da {c |}{res}        106    3.122642    3.054124          0         10
{txt}{space 4}p1_black {c |}{res}        100        4.08    2.604115          0         10
{txt}{space 4}p1_white {c |}{res}        103    3.339806    2.728044          0         10
{txt}{hline 13}{c +}{hline 57}
{space 1}p1_same_pid {c |}{res}        103    3.912621    2.708399          0         10
{txt}p1_rival_pid {c |}{res}        106    3.122642    3.054124          0         10
{txt}p1_same_race {c |}{res}         85    4.176471    2.605747          0         10
{txt}p1_rival_r~e {c |}{res}         87     3.37931    2.767088          0         10
{txt}
{com}. 
. 
. ****distribution graph SM2
. 
. graph bar, over(p1_anon) by(, title("Anonymous Game" , size(medsmall))) by(, graphregion(margin(zero) fcolor(white) lcolor(white) lwidth(none) ifcolor(white) ilcolor(white) ilwidth(none))) by(pid_anc)
{res}{txt}
{com}. graph save Graph "anon_dist.gph", replace
{res}{txt}(file anon_dist.gph saved)

{com}. 
. graph bar, over(p1_anc) by(, title("ANC Game", size(medsmall))) by(, graphregion(margin(zero) fcolor(white) lcolor(white) lwidth(none) ifcolor(white) ilcolor(white) ilwidth(none))) by(pid_anc)
{res}{txt}
{com}. graph save Graph "anc_dist.gph", replace
{res}{txt}(file anc_dist.gph saved)

{com}. graph bar, over(p1_da) by(, title("DA Game", size(medsmall))) by(, graphregion(margin(zero) fcolor(white) lcolor(white) lwidth(none) ifcolor(white) ilcolor(white) ilwidth(none))) by(pid_anc)
{res}{txt}
{com}. graph save Graph "da_dist.gph", replace
{res}{txt}(file da_dist.gph saved)

{com}. graph bar, over(p1_white) by(, title("White Game", size(medsmall))) by(, graphregion(margin(zero) fcolor(white) lcolor(white) lwidth(none) ifcolor(white) ilcolor(white) ilwidth(none))) by(pid_anc)
{res}{txt}
{com}. graph save Graph "white_dist.gph", replace
{res}{txt}(file white_dist.gph saved)

{com}. graph bar, over(p1_black) by(, title("Black Game", size(medsmall))) by(, graphregion(margin(zero) fcolor(white) lcolor(white) lwidth(none) ifcolor(white) ilcolor(white) ilwidth(none))) by(pid_anc)
{res}{txt}
{com}. graph save Graph "black_dist.gph", replace
{res}{txt}(file black_dist.gph saved)

{com}. 
. graph combine "anon_dist.gph" "anc_dist.gph" "da_dist.gph" "white_dist.gph" "black_dist.gph"
{res}{txt}
{com}. 
. 
. 
. 
.         ***2015 Study (Study2)
.         use "study 2 data", clear
{txt}
{com}. 
.         ***Table 1
.                 xtreg p1 copid##corace , fe
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}       594
{txt}Group variable: {res}id{txt}{col 49}Number of groups{col 67}={col 69}{res}       151

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0714{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.0060{col 63}{txt}avg{col 67}={col 69}{res}       3.9
{txt}     overall = {res}0.0284{col 63}{txt}max{col 67}={col 69}{res}         4

{txt}{col 49}F({res}3{txt},{res}440{txt}){col 67}={col 70}{res}    11.27
{txt}corr(u_i, Xb){col 16}= {res}-0.0001{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          p1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.copid {c |}{col 14}{res}{space 2}      .98{col 26}{space 2} .2783916{col 37}{space 1}    3.52{col 46}{space 3}0.000{col 54}{space 4} .4328575{col 67}{space 3} 1.527142
{txt}{space 4}1.corace {c |}{col 14}{res}{space 2}-.4719537{col 26}{space 2} .2802791{col 37}{space 1}   -1.68{col 46}{space 3}0.093{col 54}{space 4}-1.022806{col 67}{space 3} .0788986
{txt}{space 12} {c |}
copid#corace {c |}
{space 8}1 1  {c |}{col 14}{res}{space 2} .2224738{col 26}{space 2} .3968541{col 37}{space 1}    0.56{col 46}{space 3}0.575{col 54}{space 4}-.5574914{col 67}{space 3} 1.002439
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 4.577425{col 26}{space 2} .1969877{col 37}{space 1}   23.24{col 46}{space 3}0.000{col 54}{space 4} 4.190272{col 67}{space 3} 4.964579
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 2.6905567
     {txt}sigma_e {c |} {res} 2.4109418
         {txt}rho {c |} {res} .55464619{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
F test that all u_i=0: F({res}150{txt}, {res}440{txt}) = {res}4.83{col 62}{txt}Prob > F = {res}0.0000
{txt}
{com}.                 xtreg p1 copid##corace if pid_da==0, fe
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}       215
{txt}Group variable: {res}id{txt}{col 49}Number of groups{col 67}={col 69}{res}        55

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0228{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.0056{col 63}{txt}avg{col 67}={col 69}{res}       3.9
{txt}     overall = {res}0.0089{col 63}{txt}max{col 67}={col 69}{res}         4

{txt}{col 49}F({res}3{txt},{res}157{txt}){col 67}={col 70}{res}     1.22
{txt}corr(u_i, Xb){col 16}= {res}-0.0060{txt}{col 49}Prob > F{col 67}={col 73}{res}0.3036

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          p1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.copid {c |}{col 14}{res}{space 2} .3333333{col 26}{space 2} .5148596{col 37}{space 1}    0.65{col 46}{space 3}0.518{col 54}{space 4}-.6836117{col 67}{space 3} 1.350278
{txt}{space 4}1.corace {c |}{col 14}{res}{space 2}-.6502849{col 26}{space 2} .5214186{col 37}{space 1}   -1.25{col 46}{space 3}0.214{col 54}{space 4}-1.680185{col 67}{space 3} .3796154
{txt}{space 12} {c |}
copid#corace {c |}
{space 8}1 1  {c |}{col 14}{res}{space 2} .2058405{col 26}{space 2}  .732774{col 37}{space 1}    0.28{col 46}{space 3}0.779{col 54}{space 4}-1.241527{col 67}{space 3} 1.653208
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 4.701981{col 26}{space 2} .3644136{col 37}{space 1}   12.90{col 46}{space 3}0.000{col 54}{space 4} 3.982195{col 67}{space 3} 5.421767
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 2.7656805
     {txt}sigma_e {c |} {res} 2.6752888
         {txt}rho {c |} {res} .51660857{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
F test that all u_i=0: F({res}54{txt}, {res}157{txt}) = {res}4.04{col 62}{txt}Prob > F = {res}0.0000
{txt}
{com}.                 xtreg p1 copid##corace if pid_da==1, fe
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}       379
{txt}Group variable: {res}id{txt}{col 49}Number of groups{col 67}={col 69}{res}        96

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.1306{col 63}{txt}min{col 67}={col 69}{res}         3
{txt}     between = {res}0.0000{col 63}{txt}avg{col 67}={col 69}{res}       3.9
{txt}     overall = {res}0.0493{col 63}{txt}max{col 67}={col 69}{res}         4

{txt}{col 49}F({res}3{txt},{res}280{txt}){col 67}={col 70}{res}    14.02
{txt}corr(u_i, Xb){col 16}= {res}-0.0015{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          p1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.copid {c |}{col 14}{res}{space 2}  1.34375{col 26}{space 2}   .32214{col 37}{space 1}    4.17{col 46}{space 3}0.000{col 54}{space 4} .7096263{col 67}{space 3} 1.977874
{txt}{space 4}1.corace {c |}{col 14}{res}{space 2}-.3668824{col 26}{space 2} .3232684{col 37}{space 1}   -1.13{col 46}{space 3}0.257{col 54}{space 4}-1.003227{col 67}{space 3} .2694626
{txt}{space 12} {c |}
copid#corace {c |}
{space 8}1 1  {c |}{col 14}{res}{space 2} .2408589{col 26}{space 2} .4596802{col 37}{space 1}    0.52{col 46}{space 3}0.601{col 54}{space 4}-.6640088{col 67}{space 3} 1.145727
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 4.508768{col 26}{space 2} .2279069{col 37}{space 1}   19.78{col 46}{space 3}0.000{col 54}{space 4} 4.060139{col 67}{space 3} 4.957396
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 2.6574935
     {txt}sigma_e {c |} {res} 2.2318514
         {txt}rho {c |} {res} .58640024{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
F test that all u_i=0: F({res}95{txt}, {res}280{txt}) = {res}5.54{col 62}{txt}Prob > F = {res}0.0000
{txt}
{com}. 
.         
.         ***For SM2-SM5
. xtreg p1 copid##corace , re
{res}
{txt}Random-effects GLS regression                   Number of obs     = {res}       594
{txt}Group variable: {res}id                              {txt}Number of groups  = {res}       151

{txt}R-sq:                                           Obs per group:
     within  = {res}0.0714                                         {txt}min = {res}         1
{txt}     between = {res}0.0060                                         {txt}avg = {res}       3.9
{txt}     overall = {res}0.0284                                         {txt}max = {res}         4

                                                {txt}Wald chi2({res}3{txt})      =  {res}    34.16
{txt}corr(u_i, X)   = {res}0{txt} (assumed)                    Prob > chi2       =     {res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          p1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.copid {c |}{col 14}{res}{space 2}      .98{col 26}{space 2} .2778763{col 37}{space 1}    3.53{col 46}{space 3}0.000{col 54}{space 4} .4353724{col 67}{space 3} 1.524628
{txt}{space 4}1.corace {c |}{col 14}{res}{space 2}-.4750538{col 26}{space 2} .2796429{col 37}{space 1}   -1.70{col 46}{space 3}0.089{col 54}{space 4}-1.023144{col 67}{space 3} .0730362
{txt}{space 12} {c |}
copid#corace {c |}
{space 8}1 1  {c |}{col 14}{res}{space 2} .2274487{col 26}{space 2} .3957452{col 37}{space 1}    0.57{col 46}{space 3}0.565{col 54}{space 4}-.5481976{col 67}{space 3} 1.003095
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 4.602212{col 26}{space 2}  .277591{col 37}{space 1}   16.58{col 46}{space 3}0.000{col 54}{space 4} 4.058143{col 67}{space 3}  5.14628
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 2.4099784
     {txt}sigma_e {c |} {res} 2.4109418
         {txt}rho {c |} {res} .49980016{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}. xtreg p1 copid##corace##pid_da , re
{res}
{txt}Random-effects GLS regression                   Number of obs     = {res}       594
{txt}Group variable: {res}id                              {txt}Number of groups  = {res}       151

{txt}R-sq:                                           Obs per group:
     within  = {res}0.0856                                         {txt}min = {res}         1
{txt}     between = {res}0.0050                                         {txt}avg = {res}       3.9
{txt}     overall = {res}0.0375                                         {txt}max = {res}         4

                                                {txt}Wald chi2({res}7{txt})      =  {res}    41.42
{txt}corr(u_i, X)   = {res}0{txt} (assumed)                    Prob > chi2       =     {res}0.0000

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                 p1{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}1.copid {c |}{col 21}{res}{space 2} .3333333{col 33}{space 2} .4639294{col 44}{space 1}    0.72{col 53}{space 3}0.472{col 61}{space 4}-.5759515{col 74}{space 3} 1.242618
{txt}{space 11}1.corace {c |}{col 21}{res}{space 2}-.6395944{col 33}{space 2} .4694594{col 44}{space 1}   -1.36{col 53}{space 3}0.173{col 61}{space 4}-1.559718{col 74}{space 3} .2805292
{txt}{space 19} {c |}
{space 7}copid#corace {c |}
{space 15}1 1  {c |}{col 21}{res}{space 2} .2457909{col 33}{space 2} .6592584{col 44}{space 1}    0.37{col 53}{space 3}0.709{col 61}{space 4}-1.046332{col 74}{space 3} 1.537914
{txt}{space 19} {c |}
{space 13}pid_da {c |}
{space 4}DA Identifiers  {c |}{col 21}{res}{space 2} -.173349{col 33}{space 2} .5725164{col 44}{space 1}   -0.30{col 53}{space 3}0.762{col 61}{space 4}-1.295461{col 74}{space 3} .9487626
{txt}{space 19} {c |}
{space 7}copid#pid_da {c |}
{space 2}1#DA Identifiers  {c |}{col 21}{res}{space 2} 1.010417{col 33}{space 2} .5799117{col 44}{space 1}    1.74{col 53}{space 3}0.081{col 61}{space 4}-.1261894{col 74}{space 3} 2.147023
{txt}{space 19} {c |}
{space 6}corace#pid_da {c |}
{space 2}1#DA Identifiers  {c |}{col 21}{res}{space 2} .2602263{col 33}{space 2} .5850247{col 44}{space 1}    0.44{col 53}{space 3}0.656{col 61}{space 4}-.8864011{col 74}{space 3} 1.406854
{txt}{space 19} {c |}
copid#corace#pid_da {c |}
1#1#DA Identifiers  {c |}{col 21}{res}{space 2} -.014433{col 33}{space 2} .8251363{col 44}{space 1}   -0.02{col 53}{space 3}0.986{col 61}{space 4} -1.63167{col 74}{space 3} 1.602804
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 4.715016{col 33}{space 2} .4576544{col 44}{space 1}   10.30{col 53}{space 3}0.000{col 61}{space 4} 3.818029{col 74}{space 3} 5.612002
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            sigma_u {c |} {res} 2.3456579
            {txt}sigma_e {c |} {res} 2.4006105
                {txt}rho {c |} {res} .48842348{txt}   (fraction of variance due to u_i)
{hline 20}{c BT}{hline 64}

{com}. 
.   margins, dydx(copid) at(pid_da=(0(1)1) corace=(0(1)1))
{res}
{txt}Conditional marginal effects{col 49}Number of obs{col 67}= {res}       594
{txt}Model VCE{col 14}: {res}Conventional

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.copid}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:corace}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid_da}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:corace}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid_da}{space 10}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:corace}{space 10}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid_da}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:corace}{space 10}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid_da}{space 10}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1.copid      {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .3333333{col 26}{space 2} .4639294{col 37}{space 1}    0.72{col 46}{space 3}0.472{col 54}{space 4}-.5759515{col 67}{space 3} 1.242618
{txt}{space 10}2  {c |}{col 14}{res}{space 2}  1.34375{col 26}{space 2}  .347947{col 37}{space 1}    3.86{col 46}{space 3}0.000{col 54}{space 4} .6617864{col 67}{space 3} 2.025714
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .5791242{col 26}{space 2} .4683921{col 37}{space 1}    1.24{col 46}{space 3}0.216{col 54}{space 4}-.3389075{col 67}{space 3} 1.497156
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 1.575108{col 26}{space 2} .3537812{col 37}{space 1}    4.45{col 46}{space 3}0.000{col 54}{space 4} .8817095{col 67}{space 3} 2.268506
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}.  marginsplot, yline(0)

{text}{p 2 6 2}Variables that uniquely identify margins: pid_da corace{p_end}
{res}{txt}
{com}.  xtmixed p1 copid##c.corace##pid_da ||id: 
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1478.9646}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-1478.9646}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}       594
{txt}Group variable: {res}id{col 49}{txt}Number of groups{col 67}={col 69}{res}       151

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       3.9
{txt}{col 63}max{col 67}={col 69}{res}         4

{col 49}{txt}Wald chi2({res}7{txt}){col 67}={col 70}{res}    42.25
{txt}Log likelihood = {res}-1478.9646{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}               p1{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}1.copid {c |}{col 19}{res}{space 2} .3333333{col 31}{space 2} .4592208{col 42}{space 1}    0.73{col 51}{space 3}0.468{col 59}{space 4}-.5667229{col 72}{space 3}  1.23339
{txt}{space 11}corace {c |}{col 19}{res}{space 2}-.6398593{col 31}{space 2} .4647041{col 42}{space 1}   -1.38{col 51}{space 3}0.169{col 59}{space 4}-1.550662{col 72}{space 3}  .270944
{txt}{space 17} {c |}
{space 3}copid#c.corace {c |}
{space 15}1  {c |}{col 19}{res}{space 2} .2452219{col 31}{space 2} .6525864{col 42}{space 1}    0.38{col 51}{space 3}0.707{col 59}{space 4}-1.033824{col 72}{space 3} 1.524268
{txt}{space 17} {c |}
{space 11}pid_da {c |}
{space 2}DA Identifiers  {c |}{col 19}{res}{space 2}-.1741828{col 31}{space 2}  .571402{col 42}{space 1}   -0.30{col 51}{space 3}0.760{col 59}{space 4} -1.29411{col 72}{space 3} .9457446
{txt}{space 17} {c |}
{space 5}copid#pid_da {c |}
1#DA Identifiers  {c |}{col 19}{res}{space 2} 1.010417{col 31}{space 2}  .574026{col 42}{space 1}    1.76{col 51}{space 3}0.078{col 59}{space 4}-.1146537{col 72}{space 3} 2.135487
{txt}{space 17} {c |}
{space 2}pid_da#c.corace {c |}
{space 2}DA Identifiers  {c |}{col 19}{res}{space 2}  .260801{col 31}{space 2} .5790958{col 42}{space 1}    0.45{col 51}{space 3}0.652{col 59}{space 4}-.8742058{col 72}{space 3} 1.395808
{txt}{space 17} {c |}
{space 5}copid#pid_da#{c |}
{space 9}c.corace {c |}
1#DA Identifiers  {c |}{col 19}{res}{space 2} -.013628{col 31}{space 2} .8167812{col 42}{space 1}   -0.02{col 51}{space 3}0.987{col 59}{space 4} -1.61449{col 72}{space 3} 1.587234
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 4.715849{col 31}{space 2} .4567511{col 42}{space 1}   10.32{col 51}{space 3}0.000{col 59}{space 4} 3.820634{col 72}{space 3} 5.611065
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}id{txt}: Identity{col 30}{c |}
{col 20}sd(_cons){col 30}{c |}{res}{col 33}  2.37118{col 44} .1736746{col 58} 2.054089{col 70} 2.737221
{txt}{hline 29}{c +}{hline 48}
{col 17}sd(Residual){col 30}{c |}{res}{col 33} 2.386181{col 44} .0802364{col 58} 2.233991{col 70}  2.54874
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}{help j_chibar##|_new:chibar2(01) =} {res}167.16{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}.   margins, dydx(copid) at(pid_da=(0(1)1)) pwcompare(effects)
{res}
{txt}Pairwise comparisons of average marginal effects

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.copid}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:pid_da}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:pid_da}{space 10}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}   Contrast{col 26} Delta-method{col 37}    Una{col 46}djusted{col 54}          Una{col 67}djusted
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1.copid      {txt}{c |}
{space 9}_at {c |}
{space 5}2 vs 1  {c |}{col 14}{res}{space 2} 1.003671{col 26}{space 2} .4083612{col 37}{space 1}    2.46{col 46}{space 3}0.014{col 54}{space 4} .2032982{col 67}{space 3} 1.804045
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}.   margins, dydx(copid) at(pid_da=(0(1)1)) 
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       594

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.copid}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:pid_da}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:pid_da}{space 10}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1.copid      {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .4547058{col 26}{space 2} .3262781{col 37}{space 1}    1.39{col 46}{space 3}0.163{col 54}{space 4}-.1847875{col 67}{space 3} 1.094199
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 1.458377{col 26}{space 2} .2455636{col 37}{space 1}    5.94{col 46}{space 3}0.000{col 54}{space 4} .9770814{col 67}{space 3} 1.939673
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}.    margins, dydx(copid) at(pid_da=(0(1)1) corace=(0(1)1)) pwcompare(effects)
{res}
{txt}Pairwise comparisons of conditional marginal effects

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.copid}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:corace}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid_da}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:corace}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid_da}{space 10}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:corace}{space 10}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid_da}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:corace}{space 10}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid_da}{space 10}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}   Contrast{col 26} Delta-method{col 37}    Una{col 46}djusted{col 54}          Una{col 67}djusted
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1.copid      {txt}{c |}
{space 9}_at {c |}
{space 5}2 vs 1  {c |}{col 14}{res}{space 2} 1.010417{col 26}{space 2}  .574026{col 37}{space 1}    1.76{col 46}{space 3}0.078{col 54}{space 4}-.1146537{col 67}{space 3} 2.135487
{txt}{space 5}3 vs 1  {c |}{col 14}{res}{space 2} .2452219{col 26}{space 2} .6525864{col 37}{space 1}    0.38{col 46}{space 3}0.707{col 54}{space 4}-1.033824{col 67}{space 3} 1.524268
{txt}{space 5}4 vs 1  {c |}{col 14}{res}{space 2} 1.242011{col 26}{space 2} .5775155{col 37}{space 1}    2.15{col 46}{space 3}0.032{col 54}{space 4} .1101009{col 67}{space 3}  2.37392
{txt}{space 5}3 vs 2  {c |}{col 14}{res}{space 2}-.7651948{col 26}{space 2} .5775875{col 37}{space 1}   -1.32{col 46}{space 3}0.185{col 54}{space 4}-1.897246{col 67}{space 3}  .366856
{txt}{space 5}4 vs 2  {c |}{col 14}{res}{space 2} .2315939{col 26}{space 2} .4911848{col 37}{space 1}    0.47{col 46}{space 3}0.637{col 54}{space 4}-.7311107{col 67}{space 3} 1.194298
{txt}{space 5}4 vs 3  {c |}{col 14}{res}{space 2} .9967887{col 26}{space 2} .5810557{col 37}{space 1}    1.72{col 46}{space 3}0.086{col 54}{space 4}-.1420595{col 67}{space 3} 2.135637
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}.    contrast copid@pid_da, effect
{res}
{txt}Contrasts of marginal linear predictions

{txt}{p2colset 1 14 16 2}{...}
{p2col:Margins}:{space 1}{res:asbalanced}{p_end}
{p2colreset}{...}

{col 1}{text}{hline 17}{c TT}{hline 11}{hline 12}{hline 11}
{col 18}{text}{c |}         df{col 30}        chi2{col 42}     P>chi2
{col 1}{text}{hline 17}{c +}{hline 11}{hline 12}{hline 11}
{res}p1               {txt}{c |}
{space 4}copid@pid_da {c |}
ANC Identifiers  {col 18}{text}{c |}{result}{space 2}        1{col 30}{space 3}     0.53{col 42}{space 2}   0.4679
{txt}{space 1}DA Identifiers  {col 18}{text}{c |}{result}{space 2}        1{col 30}{space 3}    15.22{col 42}{space 2}   0.0001
{col 1}{text}          Joint {col 18}{c |}{result}{space 2}        2{col 30}{space 3}    15.75{col 42}{space 2}   0.0004
{col 1}{text}{hline 17}{c BT}{hline 11}{hline 12}{hline 11}

{res}{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}   Contrast{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}p1               {txt}{c |}
{space 4}copid@pid_da {c |}
{space 4}(1 vs base)  {c |}
ANC Identifiers  {c |}{col 18}{res}{space 2} .3333333{col 30}{space 2} .4592208{col 41}{space 1}    0.73{col 50}{space 3}0.468{col 58}{space 4}-.5667229{col 71}{space 3}  1.23339
{txt}{space 4}(1 vs base)  {c |}
{space 1}DA Identifiers  {c |}{col 18}{res}{space 2}  1.34375{col 30}{space 2} .3444156{col 41}{space 1}    3.90{col 50}{space 3}0.000{col 58}{space 4} .6687078{col 71}{space 3} 2.018792
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.    
.     margins, dydx(corace) 
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       594

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:corace}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}corace {c |}{col 14}{res}{space 2}-.3551582{col 26}{space 2} .1961998{col 37}{space 1}   -1.81{col 46}{space 3}0.070{col 54}{space 4}-.7397028{col 67}{space 3} .0293864
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.      margins, dydx(corace) at(pid_da=(0(1)1)) 
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       594

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:corace}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:pid_da}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:pid_da}{space 10}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}corace       {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.5172483{col 26}{space 2} .3262932{col 37}{space 1}   -1.59{col 46}{space 3}0.113{col 54}{space 4}-1.156771{col 67}{space 3} .1222746
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.2632613{col 26}{space 2} .2455752{col 37}{space 1}   -1.07{col 46}{space 3}0.284{col 54}{space 4}-.7445799{col 67}{space 3} .2180573
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.     margins, dydx(corace) at(pid_da=(0(1)1)) pwcompare(effects)
{res}
{txt}Pairwise comparisons of average marginal effects

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:corace}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:pid_da}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:pid_da}{space 10}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}   Contrast{col 26} Delta-method{col 37}    Una{col 46}djusted{col 54}          Una{col 67}djusted
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}corace       {txt}{c |}
{space 9}_at {c |}
{space 5}2 vs 1  {c |}{col 14}{res}{space 2}  .253987{col 26}{space 2} .4083803{col 37}{space 1}    0.62{col 46}{space 3}0.534{col 54}{space 4}-.5464236{col 67}{space 3} 1.054398
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
.             margins, dydx(copid) 
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       594

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.copid}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.copid {c |}{col 14}{res}{space 2} 1.095109{col 26}{space 2} .1962028{col 37}{space 1}    5.58{col 46}{space 3}0.000{col 54}{space 4} .7105585{col 67}{space 3} 1.479659
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}.      margins, dydx(copid) at(corace=(0(1)1)) 
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       594

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.copid}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:corace}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:corace}{space 10}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1.copid      {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .9780268{col 26}{space 2} .2755348{col 37}{space 1}    3.55{col 46}{space 3}0.000{col 54}{space 4} .4379886{col 67}{space 3} 1.518065
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 1.214553{col 26}{space 2} .2794506{col 37}{space 1}    4.35{col 46}{space 3}0.000{col 54}{space 4} .6668403{col 67}{space 3} 1.762266
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}.     margins, dydx(copid) at(corace=(0(1)1)) pwcompare(effects)
{res}
{txt}Pairwise comparisons of average marginal effects

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.copid}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:corace}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:corace}{space 10}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}   Contrast{col 26} Delta-method{col 37}    Una{col 46}djusted{col 54}          Una{col 67}djusted
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1.copid      {txt}{c |}
{space 9}_at {c |}
{space 5}2 vs 1  {c |}{col 14}{res}{space 2} .2365266{col 26}{space 2} .3924437{col 37}{space 1}    0.60{col 46}{space 3}0.547{col 54}{space 4}-.5326489{col 67}{space 3} 1.005702
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}.         
.  
.  anova p1 copid##corace##pid_da id, repeated(copid corace pid_da)

                         {txt}Number of obs = {res}       594    {txt}R-squared     ={res}  0.6383
                         {txt}Root MSE      =   {res} 2.40061    {txt}Adj R-squared ={res}  0.5092

                  {txt}Source {c |} Partial SS         df         MS        F    Prob>F
     {hline 20}{c +}{hline 52}
                   Model {c |} {res} 4444.2659        156   28.488884      4.94  0.0000
                         {txt}{c |}
                   copid {c |} {res} 123.00748          1   123.00748     21.34  0.0000
{txt}                  corace {c |} {res} 21.463432          1   21.463432      3.72  0.0543
{txt}            copid#corace {c |} {res} 1.6990146          1   1.6990146      0.29  0.5874
{txt}                  pid_da {c |} {res}      .125          1        .125      0.02  0.8830
{txt}            copid#pid_da {c |} {res} 35.987362          1   35.987362      6.24  0.0128
{txt}           corace#pid_da {c |} {res} 3.0841541          1   3.0841541      0.54  0.4648
{txt}     copid#corace#pid_da {c |} {res} .01044145          1   .01044145      0.00  0.9661
{txt}                      id {c |} {res}  4183.137        149   28.074745      4.87  0.0000
                         {txt}{c |}
                Residual {c |} {res} 2518.4008        437   5.7629308  
     {txt}{hline 20}{c +}{hline 52}
                   Total {c |} {res} 6962.6667        593   11.741428  


{txt}Between-subjects error term:  id
                     Levels:  {res}151       {txt}({res}149{txt} df)
     Lowest b.s.e. variable:  id

Repeated variable: copid
                                          Huynh-Feldt epsilon        =    {res}.
                                          {txt}Greenhouse-Geisser epsilon =    {res}.
                                          {txt}Box's conservative epsilon = {res} 1.0000

                                            {txt}{hline 12} Prob > F {hline 12}
                  Source {c |}     df      F    Regular    H-F      G-G      Box
     {hline 20}{c +}{hline 52}
                   copid {c |} {res}     1    21.34   0.0000     .        .      0.0000
{txt}                Residual {c |} {res}   437
     {txt}{hline 20}{c BT}{hline 52}

Repeated variable: corace
                                          Huynh-Feldt epsilon        =    {res}.
                                          {txt}Greenhouse-Geisser epsilon =    {res}.
                                          {txt}Box's conservative epsilon = {res} 1.0000

                                            {txt}{hline 12} Prob > F {hline 12}
                  Source {c |}     df      F    Regular    H-F      G-G      Box
     {hline 20}{c +}{hline 52}
                  corace {c |} {res}     1     3.72   0.0543     .        .      0.0543
{txt}                Residual {c |} {res}   437
     {txt}{hline 20}{c BT}{hline 52}

Repeated variables: copid#corace
                                          Huynh-Feldt epsilon        =    {res}.
                                          {txt}Greenhouse-Geisser epsilon =    {res}.
                                          {txt}Box's conservative epsilon = {res} 1.0000

                                            {txt}{hline 12} Prob > F {hline 12}
                  Source {c |}     df      F    Regular    H-F      G-G      Box
     {hline 20}{c +}{hline 52}
            copid#corace {c |} {res}     1     0.29   0.5874     .        .      0.5874
{txt}                Residual {c |} {res}   437
     {txt}{hline 20}{c BT}{hline 52}

Repeated variable: pid_da
                                          Huynh-Feldt epsilon        =    {res}.
                                          {txt}Greenhouse-Geisser epsilon =    {res}.
                                          {txt}Box's conservative epsilon = {res} 1.0000

                                            {txt}{hline 12} Prob > F {hline 12}
                  Source {c |}     df      F    Regular    H-F      G-G      Box
     {hline 20}{c +}{hline 52}
                  pid_da {c |} {res}     1     0.02   0.8830     .        .      0.8830
{txt}                Residual {c |} {res}   437
     {txt}{hline 20}{c BT}{hline 52}

Repeated variables: copid#pid_da
                                          Huynh-Feldt epsilon        =    {res}.
                                          {txt}Greenhouse-Geisser epsilon =    {res}.
                                          {txt}Box's conservative epsilon = {res} 1.0000

                                            {txt}{hline 12} Prob > F {hline 12}
                  Source {c |}     df      F    Regular    H-F      G-G      Box
     {hline 20}{c +}{hline 52}
            copid#pid_da {c |} {res}     1     6.24   0.0128     .        .      0.0128
{txt}                Residual {c |} {res}   437
     {txt}{hline 20}{c BT}{hline 52}

Repeated variables: corace#pid_da
                                          Huynh-Feldt epsilon        =    {res}.
                                          {txt}Greenhouse-Geisser epsilon =    {res}.
                                          {txt}Box's conservative epsilon = {res} 1.0000

                                            {txt}{hline 12} Prob > F {hline 12}
                  Source {c |}     df      F    Regular    H-F      G-G      Box
     {hline 20}{c +}{hline 52}
           corace#pid_da {c |} {res}     1     0.54   0.4648     .        .      0.4648
{txt}                Residual {c |} {res}   437
     {txt}{hline 20}{c BT}{hline 52}

Repeated variables: copid#corace#pid_da
                                          Huynh-Feldt epsilon        =    {res}.
                                          {txt}Greenhouse-Geisser epsilon =    {res}.
                                          {txt}Box's conservative epsilon = {res} 1.0000

                                            {txt}{hline 12} Prob > F {hline 12}
                  Source {c |}     df      F    Regular    H-F      G-G      Box
     {hline 20}{c +}{hline 52}
     copid#corace#pid_da {c |} {res}     1     0.00   0.9661     .        .      0.9661
{txt}                Residual {c |} {res}   437
     {txt}{hline 20}{c BT}{hline 52}

{com}.  contrast copid@pid_da, effect
{res}
{txt}Contrasts of marginal linear predictions

{txt}{p2colset 1 14 16 2}{...}
{p2col:Margins}:{space 1}{res:asbalanced}{p_end}
{p2colreset}{...}

{col 1}{text}{hline 17}{c TT}{hline 11}{hline 12}{hline 11}
{col 18}{text}{c |}         df{col 30}           F{col 42}        P>F
{col 1}{text}{hline 17}{c +}{hline 11}{hline 12}{hline 11}
{space 4}copid@pid_da {c |}
ANC Identifiers  {col 18}{text}{c |}{result}{space 2}        1{col 30}{space 3}     1.76{col 42}{space 2}   0.1852
{txt}{space 1}DA Identifiers  {col 18}{text}{c |}{result}{space 2}        1{col 30}{space 3}    35.08{col 42}{space 2}   0.0000
{col 1}{text}          Joint {col 18}{c |}{result}{space 2}        2{col 30}{space 3}    18.42{col 42}{space 2}   0.0000
{col 18}{text}{c |}
{col 1}{text}     Denominator{col 18}{c |}{result}{space 2}      437
{col 1}{text}{hline 17}{c BT}{hline 11}{hline 12}{hline 11}

{res}{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}   Contrast{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}copid@pid_da {c |}
{space 4}(1 vs base)  {c |}
ANC Identifiers  {c |}{col 18}{res}{space 2} .4362536{col 30}{space 2} .3287692{col 41}{space 1}    1.33{col 50}{space 3}0.185{col 58}{space 4}-.2099117{col 71}{space 3} 1.082419
{txt}{space 4}(1 vs base)  {c |}
{space 1}DA Identifiers  {c |}{col 18}{res}{space 2} 1.464179{col 30}{space 2} .2472192{col 41}{space 1}    5.92{col 50}{space 3}0.000{col 58}{space 4}  .978293{col 71}{space 3} 1.950066
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.  
.  ksmirnov p1, by(corace)

{txt}Two-sample Kolmogorov-Smirnov test for equality of distribution functions

 Smaller group       D       P-value  
 {hline 35}
 0:                {res}  0.0000    1.000
{txt} 1:                {res} -0.0589    0.357
{txt} Combined K-S:     {res}  0.0589    0.681

{txt}Note: Ties exist in combined dataset;
      there are 11 unique values out of 594 observations.

{com}. ksmirnov p1, by(copid)

{txt}Two-sample Kolmogorov-Smirnov test for equality of distribution functions

 Smaller group       D       P-value  
 {hline 35}
 0:                {res}  0.1515    0.001
{txt} 1:                {res}  0.0000    1.000
{txt} Combined K-S:     {res}  0.1515    0.002

{txt}Note: Ties exist in combined dataset;
      there are 11 unique values out of 594 observations.

{com}. ranksum p1, by(copid)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

       copid {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
           0 {c |}{res}{col 17}    297{col 26}     80211{col 38}   88357.5
           {txt}1 {c |}{res}{col 17}    297{col 26}     96504{col 38}   88357.5
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    594{col 26}    176715{col 38}    176715

{txt}unadjusted variance{col 22}{res}4373696.25
{txt}adjustment for ties{col 22}{res}-144994.35
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res}4228701.90

{txt}Ho: p1(copid==0) = p1(copid==1)
{col 14}z = {res} -3.962
{txt}{col 5}Prob > |z| = {res}  0.0001
{txt}
{com}. ranksum p1, by(corace)

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

      corace {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
           0 {c |}{res}{col 17}    300{col 26}   92130.5{col 38}     89250
           {txt}1 {c |}{res}{col 17}    294{col 26}   84584.5{col 38}     87465
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    594{col 26}    176715{col 38}    176715

{txt}unadjusted variance{col 22}{res}4373250.00
{txt}adjustment for ties{col 22}{res}-144979.55
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res}4228270.45

{txt}Ho: p1(corace==0) = p1(corace==1)
{col 14}z = {res}  1.401
{txt}{col 5}Prob > |z| = {res}  0.1613
{txt}
{com}. 
. 
. **anova Table SM8
. anova p1 copid##corace id, repeated(copid corace)

                         {txt}Number of obs = {res}       594    {txt}R-squared     ={res}  0.6327
                         {txt}Root MSE      =   {res} 2.41094    {txt}Adj R-squared ={res}  0.5049

                  {txt}Source {c |} Partial SS         df         MS        F    Prob>F
            {hline 13}{c +}{hline 52}
                   Model {c |} {res} 4405.1049        153   28.791535      4.95  0.0000
                         {txt}{c |}
                   copid {c |} {res} 175.79633          1   175.79633     30.24  0.0000
{txt}                  corace {c |} {res} 19.213683          1   19.213683      3.31  0.0697
{txt}            copid#corace {c |} {res} 1.8267091          1   1.8267091      0.31  0.5754
{txt}                      id {c |} {res} 4207.5361        150   28.050241      4.83  0.0000
                         {txt}{c |}
                Residual {c |} {res} 2557.5617        440   5.8126403  
            {txt}{hline 13}{c +}{hline 52}
                   Total {c |} {res} 6962.6667        593   11.741428  


{txt}Between-subjects error term:  id
                     Levels:  {res}151       {txt}({res}150{txt} df)
     Lowest b.s.e. variable:  id

Repeated variable: copid
                                          Huynh-Feldt epsilon        = {res} 1.0000
                                          {txt}Greenhouse-Geisser epsilon = {res} 1.0000
                                          {txt}Box's conservative epsilon = {res} 1.0000

                                            {txt}{hline 12} Prob > F {hline 12}
                  Source {c |}     df      F    Regular    H-F      G-G      Box
            {hline 13}{c +}{hline 52}
                   copid {c |} {res}     1    30.24   0.0000   0.0000   0.0000   0.0000
{txt}                Residual {c |} {res}   440
            {txt}{hline 13}{c BT}{hline 52}

Repeated variable: corace
                                          Huynh-Feldt epsilon        = {res} 1.0000
                                          {txt}Greenhouse-Geisser epsilon = {res} 1.0000
                                          {txt}Box's conservative epsilon = {res} 1.0000

                                            {txt}{hline 12} Prob > F {hline 12}
                  Source {c |}     df      F    Regular    H-F      G-G      Box
            {hline 13}{c +}{hline 52}
                  corace {c |} {res}     1     3.31   0.0697   0.0697   0.0697   0.0697
{txt}                Residual {c |} {res}   440
            {txt}{hline 13}{c BT}{hline 52}

Repeated variables: copid#corace
                                          Huynh-Feldt epsilon        = {res} 1.0000
                                          {txt}Greenhouse-Geisser epsilon = {res} 1.0000
                                          {txt}Box's conservative epsilon = {res} 1.0000

                                            {txt}{hline 12} Prob > F {hline 12}
                  Source {c |}     df      F    Regular    H-F      G-G      Box
            {hline 13}{c +}{hline 52}
            copid#corace {c |} {res}     1     0.31   0.5754   0.5754   0.5754   0.5754
{txt}                Residual {c |} {res}   440
            {txt}{hline 13}{c BT}{hline 52}

{com}. test (_b[1.copid] == _b[0.copid])
{res}
{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0b.copid + 1.copid = 0{p_end}

{txt}       F(  1,   440) ={res}   12.39
{txt}{col 13}Prob > F ={res}    0.0005
{txt}
{com}. test (_b[1.corace] == _b[0.corace])
{res}
{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0b.corace + 1.corace = 0{p_end}

{txt}       F(  1,   440) ={res}    2.84
{txt}{col 13}Prob > F ={res}    0.0929
{txt}
{com}. test (_b[1.copid]-_b[0.copid]=_b[1.corace]-_b[0.corace])
{res}
{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0b.copid + 1.copid + 0b.corace - 1.corace = 0{p_end}

{txt}       F(  1,   440) ={res}   26.84
{txt}{col 13}Prob > F ={res}    0.0000
{txt}
{com}. anova p1 copid##corace id if pid_anc==1, repeated(copid corace)

                         {txt}Number of obs = {res}       215    {txt}R-squared     ={res}  0.5853
                         {txt}Root MSE      =   {res} 2.67529    {txt}Adj R-squared ={res}  0.4347

                  {txt}Source {c |} Partial SS         df         MS        F    Prob>F
            {hline 13}{c +}{hline 52}
                   Model {c |} {res} 1585.9243         57   27.823232      3.89  0.0000
                         {txt}{c |}
                   copid {c |} {res} 10.147037          1   10.147037      1.42  0.2356
{txt}                  corace {c |} {res} 15.974041          1   15.974041      2.23  0.1372
{txt}            copid#corace {c |} {res} .56475847          1   .56475847      0.08  0.7792
{txt}                      id {c |} {res} 1561.5875         54   28.918288      4.04  0.0000
                         {txt}{c |}
                Residual {c |} {res} 1123.6757        157   7.1571704  
            {txt}{hline 13}{c +}{hline 52}
                   Total {c |} {res}    2709.6        214   12.661682  


{txt}Between-subjects error term:  id
                     Levels:  {res}55        {txt}({res}54{txt} df)
     Lowest b.s.e. variable:  id

Repeated variable: copid
                                          Huynh-Feldt epsilon        = {res} 1.0000
                                          {txt}Greenhouse-Geisser epsilon = {res} 1.0000
                                          {txt}Box's conservative epsilon = {res} 1.0000

                                            {txt}{hline 12} Prob > F {hline 12}
                  Source {c |}     df      F    Regular    H-F      G-G      Box
            {hline 13}{c +}{hline 52}
                   copid {c |} {res}     1     1.42   0.2356   0.2356   0.2356   0.2356
{txt}                Residual {c |} {res}   157
            {txt}{hline 13}{c BT}{hline 52}

Repeated variable: corace
                                          Huynh-Feldt epsilon        = {res} 1.0000
                                          {txt}Greenhouse-Geisser epsilon = {res} 1.0000
                                          {txt}Box's conservative epsilon = {res} 1.0000

                                            {txt}{hline 12} Prob > F {hline 12}
                  Source {c |}     df      F    Regular    H-F      G-G      Box
            {hline 13}{c +}{hline 52}
                  corace {c |} {res}     1     2.23   0.1372   0.1372   0.1372   0.1372
{txt}                Residual {c |} {res}   157
            {txt}{hline 13}{c BT}{hline 52}

Repeated variables: copid#corace
                                          Huynh-Feldt epsilon        = {res} 1.0000
                                          {txt}Greenhouse-Geisser epsilon = {res} 1.0000
                                          {txt}Box's conservative epsilon = {res} 1.0000

                                            {txt}{hline 12} Prob > F {hline 12}
                  Source {c |}     df      F    Regular    H-F      G-G      Box
            {hline 13}{c +}{hline 52}
            copid#corace {c |} {res}     1     0.08   0.7792   0.7792   0.7792   0.7792
{txt}                Residual {c |} {res}   157
            {txt}{hline 13}{c BT}{hline 52}

{com}. test (_b[1.copid] == _b[0.copid])
{res}
{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0b.copid + 1.copid = 0{p_end}

{txt}       F(  1,   157) ={res}    0.42
{txt}{col 13}Prob > F ={res}    0.5183
{txt}
{com}. test (_b[1.corace] == _b[0.corace])
{res}
{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0b.corace + 1.corace = 0{p_end}

{txt}       F(  1,   157) ={res}    1.56
{txt}{col 13}Prob > F ={res}    0.2142
{txt}
{com}. 
. anova p1 copid##corace id if pid_anc==1, repeated(copid corace)

                         {txt}Number of obs = {res}       215    {txt}R-squared     ={res}  0.5853
                         {txt}Root MSE      =   {res} 2.67529    {txt}Adj R-squared ={res}  0.4347

                  {txt}Source {c |} Partial SS         df         MS        F    Prob>F
            {hline 13}{c +}{hline 52}
                   Model {c |} {res} 1585.9243         57   27.823232      3.89  0.0000
                         {txt}{c |}
                   copid {c |} {res} 10.147037          1   10.147037      1.42  0.2356
{txt}                  corace {c |} {res} 15.974041          1   15.974041      2.23  0.1372
{txt}            copid#corace {c |} {res} .56475847          1   .56475847      0.08  0.7792
{txt}                      id {c |} {res} 1561.5875         54   28.918288      4.04  0.0000
                         {txt}{c |}
                Residual {c |} {res} 1123.6757        157   7.1571704  
            {txt}{hline 13}{c +}{hline 52}
                   Total {c |} {res}    2709.6        214   12.661682  


{txt}Between-subjects error term:  id
                     Levels:  {res}55        {txt}({res}54{txt} df)
     Lowest b.s.e. variable:  id

Repeated variable: copid
                                          Huynh-Feldt epsilon        = {res} 1.0000
                                          {txt}Greenhouse-Geisser epsilon = {res} 1.0000
                                          {txt}Box's conservative epsilon = {res} 1.0000

                                            {txt}{hline 12} Prob > F {hline 12}
                  Source {c |}     df      F    Regular    H-F      G-G      Box
            {hline 13}{c +}{hline 52}
                   copid {c |} {res}     1     1.42   0.2356   0.2356   0.2356   0.2356
{txt}                Residual {c |} {res}   157
            {txt}{hline 13}{c BT}{hline 52}

Repeated variable: corace
                                          Huynh-Feldt epsilon        = {res} 1.0000
                                          {txt}Greenhouse-Geisser epsilon = {res} 1.0000
                                          {txt}Box's conservative epsilon = {res} 1.0000

                                            {txt}{hline 12} Prob > F {hline 12}
                  Source {c |}     df      F    Regular    H-F      G-G      Box
            {hline 13}{c +}{hline 52}
                  corace {c |} {res}     1     2.23   0.1372   0.1372   0.1372   0.1372
{txt}                Residual {c |} {res}   157
            {txt}{hline 13}{c BT}{hline 52}

Repeated variables: copid#corace
                                          Huynh-Feldt epsilon        = {res} 1.0000
                                          {txt}Greenhouse-Geisser epsilon = {res} 1.0000
                                          {txt}Box's conservative epsilon = {res} 1.0000

                                            {txt}{hline 12} Prob > F {hline 12}
                  Source {c |}     df      F    Regular    H-F      G-G      Box
            {hline 13}{c +}{hline 52}
            copid#corace {c |} {res}     1     0.08   0.7792   0.7792   0.7792   0.7792
{txt}                Residual {c |} {res}   157
            {txt}{hline 13}{c BT}{hline 52}

{com}. test (_b[1.copid] == _b[0.copid])
{res}
{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0b.copid + 1.copid = 0{p_end}

{txt}       F(  1,   157) ={res}    0.42
{txt}{col 13}Prob > F ={res}    0.5183
{txt}
{com}. test (_b[1.corace] == _b[0.corace])
{res}
{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0b.corace + 1.corace = 0{p_end}

{txt}       F(  1,   157) ={res}    1.56
{txt}{col 13}Prob > F ={res}    0.2142
{txt}
{com}. test (_b[1.copid]-_b[0.copid]=_b[1.corace]-_b[0.corace])
{res}
{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0b.copid + 1.copid + 0b.corace - 1.corace = 0{p_end}

{txt}       F(  1,   157) ={res}    3.56
{txt}{col 13}Prob > F ={res}    0.0611
{txt}
{com}. 
. anova p1 copid##corace

                         {txt}Number of obs = {res}       594    {txt}R-squared     ={res}  0.0284
                         {txt}Root MSE      =   {res} 3.38619    {txt}Adj R-squared ={res}  0.0234

                  {txt}Source {c |} Partial SS         df         MS        F    Prob>F
            {hline 13}{c +}{hline 52}
                   Model {c |} {res} 197.56884          3   65.856281      5.74  0.0007
                         {txt}{c |}
                   copid {c |} {res}  174.8768          1    174.8768     15.25  0.0001
{txt}                  corace {c |} {res} 21.372177          1   21.372177      1.86  0.1727
{txt}            copid#corace {c |} {res} 1.6444781          1   1.6444781      0.14  0.7050
                         {txt}{c |}
                Residual {c |} {res} 6765.0978        590   11.466267  
            {txt}{hline 13}{c +}{hline 52}
                   Total {c |} {res} 6962.6667        593   11.741428  
{txt}
{com}. test (_b[1.copid] == _b[0.copid])
{res}
{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0b.copid + 1.copid = 0{p_end}

{txt}       F(  1,   590) ={res}    6.28
{txt}{col 13}Prob > F ={res}    0.0125
{txt}
{com}. 
. 
. **Tobit fixed effects
. tobit p1 copid##corace i.id , ul ll
{res}
{txt}Tobit regression{col 49}Number of obs{col 67}= {res}       594
{txt}{col 49}LR chi2({res}134{txt}){col 67}= {res}    623.04
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res} -1097.544{txt}{col 49}Pseudo R2{col 67}= {res}    0.2211

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          p1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.copid {c |}{col 14}{res}{space 2} 1.437566{col 26}{space 2} .3517329{col 37}{space 1}    4.09{col 46}{space 3}0.000{col 54}{space 4} .7463636{col 67}{space 3} 2.128768
{txt}{space 4}1.corace {c |}{col 14}{res}{space 2}-.6569795{col 26}{space 2} .3527381{col 37}{space 1}   -1.86{col 46}{space 3}0.063{col 54}{space 4}-1.350157{col 67}{space 3} .0361982
{txt}{space 12} {c |}
copid#corace {c |}
{space 8}1 1  {c |}{col 14}{res}{space 2} .3072048{col 26}{space 2} .4991004{col 37}{space 1}    0.62{col 46}{space 3}0.539{col 54}{space 4}-.6735946{col 67}{space 3} 1.288004
{txt}{space 12} {c |}
{space 10}id {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-2.980889{col 26}{space 2} 2.041689{col 37}{space 1}   -1.46{col 46}{space 3}0.145{col 54}{space 4}-6.993082{col 67}{space 3} 1.031305
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-3.730889{col 26}{space 2} 2.041689{col 37}{space 1}   -1.83{col 46}{space 3}0.068{col 54}{space 4}-7.743082{col 67}{space 3} .2813048
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-7.230889{col 26}{space 2} 2.041689{col 37}{space 1}   -3.54{col 46}{space 3}0.000{col 54}{space 4}-11.24308{col 67}{space 3}-3.218695
{txt}{space 10}5  {c |}{col 14}{res}{space 2} 2.199473{col 26}{space 2} 2.260198{col 37}{space 1}    0.97{col 46}{space 3}0.331{col 54}{space 4}-2.242121{col 67}{space 3} 6.641067
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-3.480889{col 26}{space 2} 2.041689{col 37}{space 1}   -1.70{col 46}{space 3}0.089{col 54}{space 4}-7.493082{col 67}{space 3} .5313048
{txt}{space 10}7  {c |}{col 14}{res}{space 2} -5.85558{col 26}{space 2}  2.19361{col 37}{space 1}   -2.67{col 46}{space 3}0.008{col 54}{space 4}-10.16632{col 67}{space 3}-1.544841
{txt}{space 10}8  {c |}{col 14}{res}{space 2} 19.26715{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-4.607323{col 26}{space 2} 2.192605{col 37}{space 1}   -2.10{col 46}{space 3}0.036{col 54}{space 4}-8.916088{col 67}{space 3}-.2985586
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-5.480889{col 26}{space 2} 2.041689{col 37}{space 1}   -2.68{col 46}{space 3}0.008{col 54}{space 4}-9.493082{col 67}{space 3}-1.468695
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-3.230889{col 26}{space 2} 2.041689{col 37}{space 1}   -1.58{col 46}{space 3}0.114{col 54}{space 4}-7.243082{col 67}{space 3} .7813048
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-1.480889{col 26}{space 2} 2.041689{col 37}{space 1}   -0.73{col 46}{space 3}0.469{col 54}{space 4}-5.493082{col 67}{space 3} 2.531305
{txt}{space 9}13  {c |}{col 14}{res}{space 2}-6.963337{col 26}{space 2}  2.12817{col 37}{space 1}   -3.27{col 46}{space 3}0.001{col 54}{space 4}-11.14548{col 67}{space 3}-2.781197
{txt}{space 9}14  {c |}{col 14}{res}{space 2}-3.480889{col 26}{space 2} 2.041689{col 37}{space 1}   -1.70{col 46}{space 3}0.089{col 54}{space 4}-7.493082{col 67}{space 3} .5313048
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-4.522247{col 26}{space 2}  2.19361{col 37}{space 1}   -2.06{col 46}{space 3}0.040{col 54}{space 4}-8.832985{col 67}{space 3}-.2115079
{txt}{space 9}16  {c |}{col 14}{res}{space 2}-6.851761{col 26}{space 2} 2.067436{col 37}{space 1}   -3.31{col 46}{space 3}0.001{col 54}{space 4}-10.91455{col 67}{space 3}-2.788971
{txt}{space 9}17  {c |}{col 14}{res}{space 2}-7.480889{col 26}{space 2} 2.041689{col 37}{space 1}   -3.66{col 46}{space 3}0.000{col 54}{space 4}-11.49308{col 67}{space 3}-3.468695
{txt}{space 9}18  {c |}{col 14}{res}{space 2} 19.26715{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{space 9}19  {c |}{col 14}{res}{space 2}-3.481562{col 26}{space 2} 2.121268{col 37}{space 1}   -1.64{col 46}{space 3}0.101{col 54}{space 4}-7.650139{col 67}{space 3} .6870152
{txt}{space 9}20  {c |}{col 14}{res}{space 2} 18.71976{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{space 9}21  {c |}{col 14}{res}{space 2}-9.218438{col 26}{space 2} 2.164764{col 37}{space 1}   -4.26{col 46}{space 3}0.000{col 54}{space 4}-13.47249{col 67}{space 3}-4.964387
{txt}{space 9}22  {c |}{col 14}{res}{space 2}-5.230889{col 26}{space 2} 2.041689{col 37}{space 1}   -2.56{col 46}{space 3}0.011{col 54}{space 4}-9.243082{col 67}{space 3}-1.218695
{txt}{space 9}23  {c |}{col 14}{res}{space 2}-7.115757{col 26}{space 2} 2.068991{col 37}{space 1}   -3.44{col 46}{space 3}0.001{col 54}{space 4} -11.1816{col 67}{space 3}-3.049912
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-5.480889{col 26}{space 2} 2.041689{col 37}{space 1}   -2.68{col 46}{space 3}0.008{col 54}{space 4}-9.493082{col 67}{space 3}-1.468695
{txt}{space 9}25  {c |}{col 14}{res}{space 2}-3.940446{col 26}{space 2} 2.058107{col 37}{space 1}   -1.91{col 46}{space 3}0.056{col 54}{space 4}-7.984903{col 67}{space 3} .1040117
{txt}{space 9}26  {c |}{col 14}{res}{space 2}-5.480889{col 26}{space 2} 2.041689{col 37}{space 1}   -2.68{col 46}{space 3}0.008{col 54}{space 4}-9.493082{col 67}{space 3}-1.468695
{txt}{space 9}27  {c |}{col 14}{res}{space 2} 19.26715{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-3.480889{col 26}{space 2} 2.041689{col 37}{space 1}   -1.70{col 46}{space 3}0.089{col 54}{space 4}-7.493082{col 67}{space 3} .5313048
{txt}{space 9}29  {c |}{col 14}{res}{space 2}-8.741687{col 26}{space 2} 2.131484{col 37}{space 1}   -4.10{col 46}{space 3}0.000{col 54}{space 4}-12.93034{col 67}{space 3}-4.553034
{txt}{space 9}30  {c |}{col 14}{res}{space 2}-3.480889{col 26}{space 2} 2.041689{col 37}{space 1}   -1.70{col 46}{space 3}0.089{col 54}{space 4}-7.493082{col 67}{space 3} .5313048
{txt}{space 9}31  {c |}{col 14}{res}{space 2}-5.480889{col 26}{space 2} 2.041689{col 37}{space 1}   -2.68{col 46}{space 3}0.008{col 54}{space 4}-9.493082{col 67}{space 3}-1.468695
{txt}{space 9}32  {c |}{col 14}{res}{space 2}-4.980889{col 26}{space 2} 2.041689{col 37}{space 1}   -2.44{col 46}{space 3}0.015{col 54}{space 4}-8.993082{col 67}{space 3}-.9686952
{txt}{space 9}33  {c |}{col 14}{res}{space 2}-.4808887{col 26}{space 2} 2.041689{col 37}{space 1}   -0.24{col 46}{space 3}0.814{col 54}{space 4}-4.493082{col 67}{space 3} 3.531305
{txt}{space 9}34  {c |}{col 14}{res}{space 2} -2.38111{col 26}{space 2} 2.079679{col 37}{space 1}   -1.14{col 46}{space 3}0.253{col 54}{space 4} -6.46796{col 67}{space 3} 1.705739
{txt}{space 9}35  {c |}{col 14}{res}{space 2}-3.952636{col 26}{space 2} 2.056937{col 37}{space 1}   -1.92{col 46}{space 3}0.055{col 54}{space 4}-7.994795{col 67}{space 3} .0895227
{txt}{space 9}36  {c |}{col 14}{res}{space 2}-4.980889{col 26}{space 2} 2.041689{col 37}{space 1}   -2.44{col 46}{space 3}0.015{col 54}{space 4}-8.993082{col 67}{space 3}-.9686952
{txt}{space 9}37  {c |}{col 14}{res}{space 2}-5.320005{col 26}{space 2} 2.070447{col 37}{space 1}   -2.57{col 46}{space 3}0.010{col 54}{space 4}-9.388712{col 67}{space 3}-1.251298
{txt}{space 9}38  {c |}{col 14}{res}{space 2}-5.480889{col 26}{space 2} 2.041689{col 37}{space 1}   -2.68{col 46}{space 3}0.008{col 54}{space 4}-9.493082{col 67}{space 3}-1.468695
{txt}{space 9}39  {c |}{col 14}{res}{space 2}-3.480889{col 26}{space 2} 2.041689{col 37}{space 1}   -1.70{col 46}{space 3}0.089{col 54}{space 4}-7.493082{col 67}{space 3} .5313048
{txt}{space 9}40  {c |}{col 14}{res}{space 2}-26.12698{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{space 9}41  {c |}{col 14}{res}{space 2} 19.26715{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{space 9}42  {c |}{col 14}{res}{space 2} 19.37728{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{space 9}43  {c |}{col 14}{res}{space 2}-2.980889{col 26}{space 2} 2.041689{col 37}{space 1}   -1.46{col 46}{space 3}0.145{col 54}{space 4}-6.993082{col 67}{space 3} 1.031305
{txt}{space 9}44  {c |}{col 14}{res}{space 2}-1.480889{col 26}{space 2} 2.041689{col 37}{space 1}   -0.73{col 46}{space 3}0.469{col 54}{space 4}-5.493082{col 67}{space 3} 2.531305
{txt}{space 9}45  {c |}{col 14}{res}{space 2}-1.849402{col 26}{space 2} 2.067627{col 37}{space 1}   -0.89{col 46}{space 3}0.372{col 54}{space 4}-5.912567{col 67}{space 3} 2.213762
{txt}{space 9}46  {c |}{col 14}{res}{space 2}-6.963337{col 26}{space 2}  2.12817{col 37}{space 1}   -3.27{col 46}{space 3}0.001{col 54}{space 4}-11.14548{col 67}{space 3}-2.781197
{txt}{space 9}47  {c |}{col 14}{res}{space 2}-4.230889{col 26}{space 2} 2.041689{col 37}{space 1}   -2.07{col 46}{space 3}0.039{col 54}{space 4}-8.243082{col 67}{space 3}-.2186952
{txt}{space 9}48  {c |}{col 14}{res}{space 2} 19.26715{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{space 9}49  {c |}{col 14}{res}{space 2}-2.480889{col 26}{space 2} 2.041689{col 37}{space 1}   -1.22{col 46}{space 3}0.225{col 54}{space 4}-6.493082{col 67}{space 3} 1.531305
{txt}{space 9}50  {c |}{col 14}{res}{space 2} 1.854262{col 26}{space 2} 2.176908{col 37}{space 1}    0.85{col 46}{space 3}0.395{col 54}{space 4}-2.423655{col 67}{space 3} 6.132179
{txt}{space 9}51  {c |}{col 14}{res}{space 2}-4.980889{col 26}{space 2} 2.041689{col 37}{space 1}   -2.44{col 46}{space 3}0.015{col 54}{space 4}-8.993082{col 67}{space 3}-.9686952
{txt}{space 9}52  {c |}{col 14}{res}{space 2}-3.480889{col 26}{space 2} 2.041689{col 37}{space 1}   -1.70{col 46}{space 3}0.089{col 54}{space 4}-7.493082{col 67}{space 3} .5313048
{txt}{space 9}53  {c |}{col 14}{res}{space 2}-1.728074{col 26}{space 2} 2.112464{col 37}{space 1}   -0.82{col 46}{space 3}0.414{col 54}{space 4}-5.879349{col 67}{space 3} 2.423202
{txt}{space 9}54  {c |}{col 14}{res}{space 2}-4.730889{col 26}{space 2} 2.041689{col 37}{space 1}   -2.32{col 46}{space 3}0.021{col 54}{space 4}-8.743082{col 67}{space 3}-.7186952
{txt}{space 9}55  {c |}{col 14}{res}{space 2}-5.730889{col 26}{space 2} 2.041689{col 37}{space 1}   -2.81{col 46}{space 3}0.005{col 54}{space 4}-9.743082{col 67}{space 3}-1.718695
{txt}{space 9}56  {c |}{col 14}{res}{space 2} 19.26715{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{space 9}57  {c |}{col 14}{res}{space 2}-1.480889{col 26}{space 2} 2.041689{col 37}{space 1}   -0.73{col 46}{space 3}0.469{col 54}{space 4}-5.493082{col 67}{space 3} 2.531305
{txt}{space 9}58  {c |}{col 14}{res}{space 2}-7.480889{col 26}{space 2} 2.041689{col 37}{space 1}   -3.66{col 46}{space 3}0.000{col 54}{space 4}-11.49308{col 67}{space 3}-3.468695
{txt}{space 9}59  {c |}{col 14}{res}{space 2}-3.480889{col 26}{space 2} 2.041689{col 37}{space 1}   -1.70{col 46}{space 3}0.089{col 54}{space 4}-7.493082{col 67}{space 3} .5313048
{txt}{space 9}60  {c |}{col 14}{res}{space 2}-3.480889{col 26}{space 2} 2.041689{col 37}{space 1}   -1.70{col 46}{space 3}0.089{col 54}{space 4}-7.493082{col 67}{space 3} .5313048
{txt}{space 9}61  {c |}{col 14}{res}{space 2}-1.980889{col 26}{space 2} 2.041689{col 37}{space 1}   -0.97{col 46}{space 3}0.332{col 54}{space 4}-5.993082{col 67}{space 3} 2.031305
{txt}{space 9}62  {c |}{col 14}{res}{space 2} -1.94383{col 26}{space 2} 2.057894{col 37}{space 1}   -0.94{col 46}{space 3}0.345{col 54}{space 4}-5.987867{col 67}{space 3} 2.100208
{txt}{space 9}63  {c |}{col 14}{res}{space 2}-4.330753{col 26}{space 2} 2.065323{col 37}{space 1}   -2.10{col 46}{space 3}0.037{col 54}{space 4}-8.389391{col 67}{space 3}-.2721156
{txt}{space 9}64  {c |}{col 14}{res}{space 2}-6.480889{col 26}{space 2} 2.041689{col 37}{space 1}   -3.17{col 46}{space 3}0.002{col 54}{space 4}-10.49308{col 67}{space 3}-2.468695
{txt}{space 9}65  {c |}{col 14}{res}{space 2}-4.480889{col 26}{space 2} 2.041689{col 37}{space 1}   -2.19{col 46}{space 3}0.029{col 54}{space 4}-8.493082{col 67}{space 3}-.4686952
{txt}{space 9}66  {c |}{col 14}{res}{space 2} 19.26715{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{space 9}67  {c |}{col 14}{res}{space 2}-5.480889{col 26}{space 2} 2.041689{col 37}{space 1}   -2.68{col 46}{space 3}0.008{col 54}{space 4}-9.493082{col 67}{space 3}-1.468695
{txt}{space 9}68  {c |}{col 14}{res}{space 2}-1.868485{col 26}{space 2} 2.065555{col 37}{space 1}   -0.90{col 46}{space 3}0.366{col 54}{space 4}-5.927578{col 67}{space 3} 2.190608
{txt}{space 9}69  {c |}{col 14}{res}{space 2} 19.26715{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{space 9}70  {c |}{col 14}{res}{space 2}-3.730889{col 26}{space 2} 2.041689{col 37}{space 1}   -1.83{col 46}{space 3}0.068{col 54}{space 4}-7.743082{col 67}{space 3} .2813048
{txt}{space 9}71  {c |}{col 14}{res}{space 2}-7.826815{col 26}{space 2} 2.094276{col 37}{space 1}   -3.74{col 46}{space 3}0.000{col 54}{space 4}-11.94235{col 67}{space 3}-3.711281
{txt}{space 9}72  {c |}{col 14}{res}{space 2} -6.18819{col 26}{space 2} 2.077577{col 37}{space 1}   -2.98{col 46}{space 3}0.003{col 54}{space 4}-10.27091{col 67}{space 3}-2.105472
{txt}{space 9}73  {c |}{col 14}{res}{space 2}-3.480889{col 26}{space 2} 2.041689{col 37}{space 1}   -1.70{col 46}{space 3}0.089{col 54}{space 4}-7.493082{col 67}{space 3} .5313048
{txt}{space 9}74  {c |}{col 14}{res}{space 2}-5.054687{col 26}{space 2} 2.069932{col 37}{space 1}   -2.44{col 46}{space 3}0.015{col 54}{space 4}-9.122381{col 67}{space 3}-.9869925
{txt}{space 9}75  {c |}{col 14}{res}{space 2}  .251957{col 26}{space 2} 2.188088{col 37}{space 1}    0.12{col 46}{space 3}0.908{col 54}{space 4} -4.04793{col 67}{space 3} 4.551844
{txt}{space 9}76  {c |}{col 14}{res}{space 2}-1.480889{col 26}{space 2} 2.041689{col 37}{space 1}   -0.73{col 46}{space 3}0.469{col 54}{space 4}-5.493082{col 67}{space 3} 2.531305
{txt}{space 9}77  {c |}{col 14}{res}{space 2}-.2325091{col 26}{space 2}  2.09512{col 37}{space 1}   -0.11{col 46}{space 3}0.912{col 54}{space 4}-4.349702{col 67}{space 3} 3.884683
{txt}{space 9}78  {c |}{col 14}{res}{space 2} .2182872{col 26}{space 2} 2.179171{col 37}{space 1}    0.10{col 46}{space 3}0.920{col 54}{space 4}-4.064077{col 67}{space 3} 4.500652
{txt}{space 9}79  {c |}{col 14}{res}{space 2} -2.07896{col 26}{space 2} 2.083807{col 37}{space 1}   -1.00{col 46}{space 3}0.319{col 54}{space 4}-6.173921{col 67}{space 3} 2.016002
{txt}{space 9}80  {c |}{col 14}{res}{space 2}-5.239622{col 26}{space 2} 2.113737{col 37}{space 1}   -2.48{col 46}{space 3}0.014{col 54}{space 4}  -9.3934{col 67}{space 3}-1.085845
{txt}{space 9}81  {c |}{col 14}{res}{space 2}-5.480889{col 26}{space 2} 2.041689{col 37}{space 1}   -2.68{col 46}{space 3}0.008{col 54}{space 4}-9.493082{col 67}{space 3}-1.468695
{txt}{space 9}82  {c |}{col 14}{res}{space 2}-3.480889{col 26}{space 2} 2.041689{col 37}{space 1}   -1.70{col 46}{space 3}0.089{col 54}{space 4}-7.493082{col 67}{space 3} .5313048
{txt}{space 9}83  {c |}{col 14}{res}{space 2}-3.480889{col 26}{space 2} 2.041689{col 37}{space 1}   -1.70{col 46}{space 3}0.089{col 54}{space 4}-7.493082{col 67}{space 3} .5313048
{txt}{space 9}84  {c |}{col 14}{res}{space 2}-26.12698{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{space 9}85  {c |}{col 14}{res}{space 2}-26.12698{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{space 9}86  {c |}{col 14}{res}{space 2}-9.041882{col 26}{space 2} 2.138593{col 37}{space 1}   -4.23{col 46}{space 3}0.000{col 54}{space 4}-13.24451{col 67}{space 3}-4.839259
{txt}{space 9}87  {c |}{col 14}{res}{space 2}-7.962847{col 26}{space 2} 2.127763{col 37}{space 1}   -3.74{col 46}{space 3}0.000{col 54}{space 4}-12.14419{col 67}{space 3}-3.781507
{txt}{space 9}88  {c |}{col 14}{res}{space 2}-1.438343{col 26}{space 2} 2.115709{col 37}{space 1}   -0.68{col 46}{space 3}0.497{col 54}{space 4}-5.595997{col 67}{space 3}  2.71931
{txt}{space 9}89  {c |}{col 14}{res}{space 2}-8.309628{col 26}{space 2} 2.092159{col 37}{space 1}   -3.97{col 46}{space 3}0.000{col 54}{space 4}  -12.421{col 67}{space 3}-4.198255
{txt}{space 9}90  {c |}{col 14}{res}{space 2}-2.718438{col 26}{space 2} 2.055542{col 37}{space 1}   -1.32{col 46}{space 3}0.187{col 54}{space 4}-6.757855{col 67}{space 3}  1.32098
{txt}{space 9}91  {c |}{col 14}{res}{space 2}-1.158813{col 26}{space 2} 2.103944{col 37}{space 1}   -0.55{col 46}{space 3}0.582{col 54}{space 4}-5.293345{col 67}{space 3}  2.97572
{txt}{space 9}92  {c |}{col 14}{res}{space 2}-2.86e-15{col 26}{space 2} 2.125056{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-4.176022{col 67}{space 3} 4.176022
{txt}{space 9}93  {c |}{col 14}{res}{space 2}-4.730889{col 26}{space 2} 2.041689{col 37}{space 1}   -2.32{col 46}{space 3}0.021{col 54}{space 4}-8.743082{col 67}{space 3}-.7186952
{txt}{space 9}94  {c |}{col 14}{res}{space 2}-3.480889{col 26}{space 2} 2.041689{col 37}{space 1}   -1.70{col 46}{space 3}0.089{col 54}{space 4}-7.493082{col 67}{space 3} .5313048
{txt}{space 9}95  {c |}{col 14}{res}{space 2} 19.26715{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{space 9}96  {c |}{col 14}{res}{space 2}-9.283907{col 26}{space 2} 2.173808{col 37}{space 1}   -4.27{col 46}{space 3}0.000{col 54}{space 4}-13.55573{col 67}{space 3}-5.012082
{txt}{space 9}97  {c |}{col 14}{res}{space 2}-5.480889{col 26}{space 2} 2.041689{col 37}{space 1}   -2.68{col 46}{space 3}0.008{col 54}{space 4}-9.493082{col 67}{space 3}-1.468695
{txt}{space 9}98  {c |}{col 14}{res}{space 2}-.6929434{col 26}{space 2} 2.099963{col 37}{space 1}   -0.33{col 46}{space 3}0.742{col 54}{space 4}-4.819653{col 67}{space 3} 3.433766
{txt}{space 9}99  {c |}{col 14}{res}{space 2} .9054128{col 26}{space 2}  2.14716{col 37}{space 1}    0.42{col 46}{space 3}0.673{col 54}{space 4}-3.314045{col 67}{space 3}  5.12487
{txt}{space 8}100  {c |}{col 14}{res}{space 2}-2.955558{col 26}{space 2} 2.056754{col 37}{space 1}   -1.44{col 46}{space 3}0.151{col 54}{space 4}-6.997356{col 67}{space 3} 1.086239
{txt}{space 8}101  {c |}{col 14}{res}{space 2}-3.480889{col 26}{space 2} 2.041689{col 37}{space 1}   -1.70{col 46}{space 3}0.089{col 54}{space 4}-7.493082{col 67}{space 3} .5313048
{txt}{space 8}102  {c |}{col 14}{res}{space 2}-7.230889{col 26}{space 2} 2.041689{col 37}{space 1}   -3.54{col 46}{space 3}0.000{col 54}{space 4}-11.24308{col 67}{space 3}-3.218695
{txt}{space 8}103  {c |}{col 14}{res}{space 2}-3.480889{col 26}{space 2} 2.041689{col 37}{space 1}   -1.70{col 46}{space 3}0.089{col 54}{space 4}-7.493082{col 67}{space 3} .5313048
{txt}{space 8}104  {c |}{col 14}{res}{space 2}-3.952636{col 26}{space 2} 2.056937{col 37}{space 1}   -1.92{col 46}{space 3}0.055{col 54}{space 4}-7.994795{col 67}{space 3} .0895227
{txt}{space 8}105  {c |}{col 14}{res}{space 2}-1.319176{col 26}{space 2} 2.071006{col 37}{space 1}   -0.64{col 46}{space 3}0.524{col 54}{space 4}-5.388981{col 67}{space 3}  2.75063
{txt}{space 8}106  {c |}{col 14}{res}{space 2}-1.868485{col 26}{space 2} 2.065555{col 37}{space 1}   -0.90{col 46}{space 3}0.366{col 54}{space 4}-5.927578{col 67}{space 3} 2.190608
{txt}{space 8}107  {c |}{col 14}{res}{space 2}-4.480889{col 26}{space 2} 2.041689{col 37}{space 1}   -2.19{col 46}{space 3}0.029{col 54}{space 4}-8.493082{col 67}{space 3}-.4686952
{txt}{space 8}108  {c |}{col 14}{res}{space 2}-3.730889{col 26}{space 2} 2.041689{col 37}{space 1}   -1.83{col 46}{space 3}0.068{col 54}{space 4}-7.743082{col 67}{space 3} .2813048
{txt}{space 8}109  {c |}{col 14}{res}{space 2}-7.274459{col 26}{space 2} 2.087921{col 37}{space 1}   -3.48{col 46}{space 3}0.001{col 54}{space 4} -11.3775{col 67}{space 3}-3.171414
{txt}{space 8}110  {c |}{col 14}{res}{space 2}-6.230889{col 26}{space 2} 2.041689{col 37}{space 1}   -3.05{col 46}{space 3}0.002{col 54}{space 4}-10.24308{col 67}{space 3}-2.218695
{txt}{space 8}111  {c |}{col 14}{res}{space 2}-1.658332{col 26}{space 2} 2.061466{col 37}{space 1}   -0.80{col 46}{space 3}0.422{col 54}{space 4} -5.70939{col 67}{space 3} 2.392725
{txt}{space 8}112  {c |}{col 14}{res}{space 2}-3.681161{col 26}{space 2} 2.059022{col 37}{space 1}   -1.79{col 46}{space 3}0.074{col 54}{space 4}-7.727417{col 67}{space 3} .3650943
{txt}{space 8}113  {c |}{col 14}{res}{space 2} 1.313007{col 26}{space 2} 2.328813{col 37}{space 1}    0.56{col 46}{space 3}0.573{col 54}{space 4}-3.263425{col 67}{space 3} 5.889438
{txt}{space 8}114  {c |}{col 14}{res}{space 2} 19.26715{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{space 8}115  {c |}{col 14}{res}{space 2}-.6429372{col 26}{space 2} 2.063085{col 37}{space 1}   -0.31{col 46}{space 3}0.755{col 54}{space 4}-4.697176{col 67}{space 3} 3.411302
{txt}{space 8}116  {c |}{col 14}{res}{space 2}-4.572747{col 26}{space 2} 2.082262{col 37}{space 1}   -2.20{col 46}{space 3}0.029{col 54}{space 4}-8.664671{col 67}{space 3}-.4808227
{txt}{space 8}117  {c |}{col 14}{res}{space 2}-9.147097{col 26}{space 2} 2.192655{col 37}{space 1}   -4.17{col 46}{space 3}0.000{col 54}{space 4}-13.45596{col 67}{space 3}-4.838234
{txt}{space 8}118  {c |}{col 14}{res}{space 2}-5.730889{col 26}{space 2} 2.041689{col 37}{space 1}   -2.81{col 46}{space 3}0.005{col 54}{space 4}-9.743082{col 67}{space 3}-1.718695
{txt}{space 8}119  {c |}{col 14}{res}{space 2}-7.486634{col 26}{space 2}  2.08333{col 37}{space 1}   -3.59{col 46}{space 3}0.000{col 54}{space 4}-11.58066{col 67}{space 3} -3.39261
{txt}{space 8}120  {c |}{col 14}{res}{space 2}-4.063825{col 26}{space 2} 2.072495{col 37}{space 1}   -1.96{col 46}{space 3}0.051{col 54}{space 4}-8.136556{col 67}{space 3}  .008906
{txt}{space 8}121  {c |}{col 14}{res}{space 2}-4.730889{col 26}{space 2} 2.041689{col 37}{space 1}   -2.32{col 46}{space 3}0.021{col 54}{space 4}-8.743082{col 67}{space 3}-.7186952
{txt}{space 8}122  {c |}{col 14}{res}{space 2}-2.888847{col 26}{space 2} 2.075501{col 37}{space 1}   -1.39{col 46}{space 3}0.165{col 54}{space 4}-6.967486{col 67}{space 3} 1.189792
{txt}{space 8}123  {c |}{col 14}{res}{space 2} .6146339{col 26}{space 2} 2.107358{col 37}{space 1}    0.29{col 46}{space 3}0.771{col 54}{space 4}-3.526607{col 67}{space 3} 4.755875
{txt}{space 8}124  {c |}{col 14}{res}{space 2}-2.680669{col 26}{space 2} 2.070193{col 37}{space 1}   -1.29{col 46}{space 3}0.196{col 54}{space 4}-6.748877{col 67}{space 3} 1.387539
{txt}{space 8}125  {c |}{col 14}{res}{space 2}-3.480889{col 26}{space 2} 2.041689{col 37}{space 1}   -1.70{col 46}{space 3}0.089{col 54}{space 4}-7.493082{col 67}{space 3} .5313048
{txt}{space 8}126  {c |}{col 14}{res}{space 2}-7.274459{col 26}{space 2} 2.087921{col 37}{space 1}   -3.48{col 46}{space 3}0.001{col 54}{space 4} -11.3775{col 67}{space 3}-3.171414
{txt}{space 8}127  {c |}{col 14}{res}{space 2}-5.480889{col 26}{space 2} 2.041689{col 37}{space 1}   -2.68{col 46}{space 3}0.008{col 54}{space 4}-9.493082{col 67}{space 3}-1.468695
{txt}{space 8}128  {c |}{col 14}{res}{space 2}-2.955558{col 26}{space 2} 2.056754{col 37}{space 1}   -1.44{col 46}{space 3}0.151{col 54}{space 4}-6.997356{col 67}{space 3} 1.086239
{txt}{space 8}129  {c |}{col 14}{res}{space 2}-3.952636{col 26}{space 2} 2.056937{col 37}{space 1}   -1.92{col 46}{space 3}0.055{col 54}{space 4}-7.994795{col 67}{space 3} .0895227
{txt}{space 8}130  {c |}{col 14}{res}{space 2}-1.868485{col 26}{space 2} 2.065555{col 37}{space 1}   -0.90{col 46}{space 3}0.366{col 54}{space 4}-5.927578{col 67}{space 3} 2.190608
{txt}{space 8}131  {c |}{col 14}{res}{space 2}  -8.1057{col 26}{space 2} 2.097782{col 37}{space 1}   -3.86{col 46}{space 3}0.000{col 54}{space 4}-12.22812{col 67}{space 3}-3.983277
{txt}{space 8}132  {c |}{col 14}{res}{space 2}-5.980889{col 26}{space 2} 2.041689{col 37}{space 1}   -2.93{col 46}{space 3}0.004{col 54}{space 4}-9.993082{col 67}{space 3}-1.968695
{txt}{space 8}133  {c |}{col 14}{res}{space 2} 17.64836{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{space 8}134  {c |}{col 14}{res}{space 2}-7.480889{col 26}{space 2} 2.041689{col 37}{space 1}   -3.66{col 46}{space 3}0.000{col 54}{space 4}-11.49308{col 67}{space 3}-3.468695
{txt}{space 8}135  {c |}{col 14}{res}{space 2}-2.473953{col 26}{space 2} 2.230635{col 37}{space 1}   -1.11{col 46}{space 3}0.268{col 54}{space 4} -6.85745{col 67}{space 3} 1.909545
{txt}{space 8}136  {c |}{col 14}{res}{space 2} 19.26715{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{space 8}137  {c |}{col 14}{res}{space 2}-4.230889{col 26}{space 2} 2.041689{col 37}{space 1}   -2.07{col 46}{space 3}0.039{col 54}{space 4}-8.243082{col 67}{space 3}-.2186952
{txt}{space 8}138  {c |}{col 14}{res}{space 2}-3.481562{col 26}{space 2} 2.121268{col 37}{space 1}   -1.64{col 46}{space 3}0.101{col 54}{space 4}-7.650139{col 67}{space 3} .6870152
{txt}{space 8}139  {c |}{col 14}{res}{space 2}-1.658332{col 26}{space 2} 2.061466{col 37}{space 1}   -0.80{col 46}{space 3}0.422{col 54}{space 4} -5.70939{col 67}{space 3} 2.392725
{txt}{space 8}140  {c |}{col 14}{res}{space 2} 1.101312{col 26}{space 2} 2.139428{col 37}{space 1}    0.51{col 46}{space 3}0.607{col 54}{space 4}-3.102952{col 67}{space 3} 5.305576
{txt}{space 8}141  {c |}{col 14}{res}{space 2}-7.274459{col 26}{space 2} 2.087921{col 37}{space 1}   -3.48{col 46}{space 3}0.001{col 54}{space 4} -11.3775{col 67}{space 3}-3.171414
{txt}{space 8}142  {c |}{col 14}{res}{space 2}-7.000749{col 26}{space 2} 2.085054{col 37}{space 1}   -3.36{col 46}{space 3}0.001{col 54}{space 4}-11.09816{col 67}{space 3}-2.903338
{txt}{space 8}143  {c |}{col 14}{res}{space 2}-3.213596{col 26}{space 2} 2.055991{col 37}{space 1}   -1.56{col 46}{space 3}0.119{col 54}{space 4}-7.253895{col 67}{space 3} .8267028
{txt}{space 8}144  {c |}{col 14}{res}{space 2}-6.963337{col 26}{space 2}  2.12817{col 37}{space 1}   -3.27{col 46}{space 3}0.001{col 54}{space 4}-11.14548{col 67}{space 3}-2.781197
{txt}{space 8}145  {c |}{col 14}{res}{space 2}-3.481562{col 26}{space 2} 2.121268{col 37}{space 1}   -1.64{col 46}{space 3}0.101{col 54}{space 4}-7.650139{col 67}{space 3} .6870152
{txt}{space 8}146  {c |}{col 14}{res}{space 2} 19.26715{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{space 8}147  {c |}{col 14}{res}{space 2}-2.376209{col 26}{space 2}  2.06471{col 37}{space 1}   -1.15{col 46}{space 3}0.250{col 54}{space 4}-6.433641{col 67}{space 3} 1.681223
{txt}{space 8}148  {c |}{col 14}{res}{space 2}-3.461134{col 26}{space 2} 2.078068{col 37}{space 1}   -1.67{col 46}{space 3}0.096{col 54}{space 4}-7.544817{col 67}{space 3} .6225494
{txt}{space 8}149  {c |}{col 14}{res}{space 2} 19.26715{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{space 8}150  {c |}{col 14}{res}{space 2}-6.963337{col 26}{space 2}  2.12817{col 37}{space 1}   -3.27{col 46}{space 3}0.001{col 54}{space 4}-11.14548{col 67}{space 3}-2.781197
{txt}{space 8}151  {c |}{col 14}{res}{space 2}-.3720294{col 26}{space 2} 2.108901{col 37}{space 1}   -0.18{col 46}{space 3}0.860{col 54}{space 4}-4.516304{col 67}{space 3} 3.772245
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 8.013794{col 26}{space 2} 1.516895{col 37}{space 1}    5.28{col 46}{space 3}0.000{col 54}{space 4} 5.032892{col 67}{space 3}  10.9947
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
      /sigma {c |}{col 14}{res}{space 2} 2.762229{col 26}{space 2} .1045339{col 54}{space 4} 2.556806{col 67}{space 3} 2.967652
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}            64{txt}  left-censored observations at p1 <= {res}0
           399{txt}     uncensored observations
{res}           131{txt} right-censored observations at p1 >= {res}10
{txt}
{com}. tobit p1 copid##corace i.id if pid_da==0 , ul ll
{res}
{txt}Tobit regression{col 49}Number of obs{col 67}= {res}       215
{txt}{col 49}LR chi2({res}53{txt}){col 67}= {res}    185.04
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-421.58104{txt}{col 49}Pseudo R2{col 67}= {res}    0.1800

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          p1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.copid {c |}{col 14}{res}{space 2} .5390366{col 26}{space 2} .6458152{col 37}{space 1}    0.83{col 46}{space 3}0.405{col 54}{space 4}-.7362648{col 67}{space 3} 1.814338
{txt}{space 4}1.corace {c |}{col 14}{res}{space 2}-.9356031{col 26}{space 2} .6509247{col 37}{space 1}   -1.44{col 46}{space 3}0.153{col 54}{space 4}-2.220994{col 67}{space 3} .3497882
{txt}{space 12} {c |}
copid#corace {c |}
{space 8}1 1  {c |}{col 14}{res}{space 2} .2309859{col 26}{space 2} .9153044{col 37}{space 1}    0.25{col 46}{space 3}0.801{col 54}{space 4} -1.57648{col 67}{space 3} 2.038452
{txt}{space 12} {c |}
{space 10}id {c |}
{space 10}7  {c |}{col 14}{res}{space 2}-8.126227{col 26}{space 2} 2.612195{col 37}{space 1}   -3.11{col 46}{space 3}0.002{col 54}{space 4}-13.28457{col 67}{space 3}-2.967884
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-5.611205{col 26}{space 2} 2.449656{col 37}{space 1}   -2.29{col 46}{space 3}0.023{col 54}{space 4}-10.44858{col 67}{space 3}-.7738299
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-6.792893{col 26}{space 2} 2.612195{col 37}{space 1}   -2.60{col 46}{space 3}0.010{col 54}{space 4}-11.95124{col 67}{space 3}-1.634551
{txt}{space 9}17  {c |}{col 14}{res}{space 2}-9.861205{col 26}{space 2} 2.449656{col 37}{space 1}   -4.03{col 46}{space 3}0.000{col 54}{space 4}-14.69858{col 67}{space 3} -5.02383
{txt}{space 9}21  {c |}{col 14}{res}{space 2}-11.76927{col 26}{space 2} 2.590195{col 37}{space 1}   -4.54{col 46}{space 3}0.000{col 54}{space 4}-16.88417{col 67}{space 3} -6.65437
{txt}{space 9}22  {c |}{col 14}{res}{space 2}-7.611205{col 26}{space 2} 2.449656{col 37}{space 1}   -3.11{col 46}{space 3}0.002{col 54}{space 4}-12.44858{col 67}{space 3} -2.77383
{txt}{space 9}29  {c |}{col 14}{res}{space 2}-11.39116{col 26}{space 2} 2.569965{col 37}{space 1}   -4.43{col 46}{space 3}0.000{col 54}{space 4}-16.46612{col 67}{space 3}-6.316213
{txt}{space 9}30  {c |}{col 14}{res}{space 2}-5.861205{col 26}{space 2} 2.449656{col 37}{space 1}   -2.39{col 46}{space 3}0.018{col 54}{space 4}-10.69858{col 67}{space 3} -1.02383
{txt}{space 9}31  {c |}{col 14}{res}{space 2}-7.861205{col 26}{space 2} 2.449656{col 37}{space 1}   -3.21{col 46}{space 3}0.002{col 54}{space 4}-12.69858{col 67}{space 3} -3.02383
{txt}{space 9}37  {c |}{col 14}{res}{space 2}-7.709059{col 26}{space 2} 2.486864{col 37}{space 1}   -3.10{col 46}{space 3}0.002{col 54}{space 4}-12.61991{col 67}{space 3}-2.798209
{txt}{space 9}38  {c |}{col 14}{res}{space 2}-7.861205{col 26}{space 2} 2.449656{col 37}{space 1}   -3.21{col 46}{space 3}0.002{col 54}{space 4}-12.69858{col 67}{space 3} -3.02383
{txt}{space 9}40  {c |}{col 14}{res}{space 2}-30.53364{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{space 9}45  {c |}{col 14}{res}{space 2}-4.178583{col 26}{space 2} 2.475265{col 37}{space 1}   -1.69{col 46}{space 3}0.093{col 54}{space 4}-9.066528{col 67}{space 3} .7093612
{txt}{space 9}46  {c |}{col 14}{res}{space 2}-9.422914{col 26}{space 2} 2.542021{col 37}{space 1}   -3.71{col 46}{space 3}0.000{col 54}{space 4}-14.44268{col 67}{space 3}-4.403145
{txt}{space 9}47  {c |}{col 14}{res}{space 2}-6.611205{col 26}{space 2} 2.449656{col 37}{space 1}   -2.70{col 46}{space 3}0.008{col 54}{space 4}-11.44858{col 67}{space 3} -1.77383
{txt}{space 9}50  {c |}{col 14}{res}{space 2}-.4809442{col 26}{space 2} 2.571061{col 37}{space 1}   -0.19{col 46}{space 3}0.852{col 54}{space 4}-5.558058{col 67}{space 3}  4.59617
{txt}{space 9}64  {c |}{col 14}{res}{space 2}-8.861205{col 26}{space 2} 2.449656{col 37}{space 1}   -3.62{col 46}{space 3}0.000{col 54}{space 4}-13.69858{col 67}{space 3} -4.02383
{txt}{space 9}67  {c |}{col 14}{res}{space 2}-7.861205{col 26}{space 2} 2.449656{col 37}{space 1}   -3.21{col 46}{space 3}0.002{col 54}{space 4}-12.69858{col 67}{space 3} -3.02383
{txt}{space 9}68  {c |}{col 14}{res}{space 2} -4.21627{col 26}{space 2} 2.471653{col 37}{space 1}   -1.71{col 46}{space 3}0.090{col 54}{space 4}-9.097082{col 67}{space 3} .6645421
{txt}{space 9}71  {c |}{col 14}{res}{space 2} -10.2481{col 26}{space 2} 2.504041{col 37}{space 1}   -4.09{col 46}{space 3}0.000{col 54}{space 4}-15.19287{col 67}{space 3}-5.303337
{txt}{space 9}75  {c |}{col 14}{res}{space 2}-1.949661{col 26}{space 2} 2.606993{col 37}{space 1}   -0.75{col 46}{space 3}0.456{col 54}{space 4}-7.097732{col 67}{space 3} 3.198409
{txt}{space 9}77  {c |}{col 14}{res}{space 2} -2.40309{col 26}{space 2} 2.516784{col 37}{space 1}   -0.95{col 46}{space 3}0.341{col 54}{space 4}-7.373024{col 67}{space 3} 2.566844
{txt}{space 9}83  {c |}{col 14}{res}{space 2}-5.861205{col 26}{space 2} 2.449656{col 37}{space 1}   -2.39{col 46}{space 3}0.018{col 54}{space 4}-10.69858{col 67}{space 3} -1.02383
{txt}{space 9}86  {c |}{col 14}{res}{space 2}-11.70173{col 26}{space 2} 2.578437{col 37}{space 1}   -4.54{col 46}{space 3}0.000{col 54}{space 4}-16.79341{col 67}{space 3}-6.610047
{txt}{space 9}90  {c |}{col 14}{res}{space 2}-5.031288{col 26}{space 2} 2.465639{col 37}{space 1}   -2.04{col 46}{space 3}0.043{col 54}{space 4}-9.900224{col 67}{space 3}-.1623513
{txt}{space 9}92  {c |}{col 14}{res}{space 2}-2.301082{col 26}{space 2} 2.528032{col 37}{space 1}   -0.91{col 46}{space 3}0.364{col 54}{space 4}-7.293226{col 67}{space 3} 2.691062
{txt}{space 9}95  {c |}{col 14}{res}{space 2} 18.84806{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{space 9}96  {c |}{col 14}{res}{space 2}-11.81525{col 26}{space 2} 2.594701{col 37}{space 1}   -4.55{col 46}{space 3}0.000{col 54}{space 4}-16.93905{col 67}{space 3}-6.691452
{txt}{space 9}97  {c |}{col 14}{res}{space 2}-7.861205{col 26}{space 2} 2.449656{col 37}{space 1}   -3.21{col 46}{space 3}0.002{col 54}{space 4}-12.69858{col 67}{space 3} -3.02383
{txt}{space 9}98  {c |}{col 14}{res}{space 2}-2.931312{col 26}{space 2} 2.512239{col 37}{space 1}   -1.17{col 46}{space 3}0.245{col 54}{space 4}-7.892269{col 67}{space 3} 2.029645
{txt}{space 8}102  {c |}{col 14}{res}{space 2}-9.611205{col 26}{space 2} 2.449656{col 37}{space 1}   -3.92{col 46}{space 3}0.000{col 54}{space 4}-14.44858{col 67}{space 3} -4.77383
{txt}{space 8}104  {c |}{col 14}{res}{space 2}-6.298146{col 26}{space 2} 2.464061{col 37}{space 1}   -2.56{col 46}{space 3}0.012{col 54}{space 4}-11.16397{col 67}{space 3}-1.432326
{txt}{space 8}105  {c |}{col 14}{res}{space 2}-3.648189{col 26}{space 2} 2.478398{col 37}{space 1}   -1.47{col 46}{space 3}0.143{col 54}{space 4}-8.542322{col 67}{space 3} 1.245943
{txt}{space 8}106  {c |}{col 14}{res}{space 2} -4.21627{col 26}{space 2} 2.471653{col 37}{space 1}   -1.71{col 46}{space 3}0.090{col 54}{space 4}-9.097082{col 67}{space 3} .6645421
{txt}{space 8}110  {c |}{col 14}{res}{space 2}-8.611205{col 26}{space 2} 2.449656{col 37}{space 1}   -3.52{col 46}{space 3}0.001{col 54}{space 4}-13.44858{col 67}{space 3} -3.77383
{txt}{space 8}111  {c |}{col 14}{res}{space 2}-3.944721{col 26}{space 2} 2.474491{col 37}{space 1}   -1.59{col 46}{space 3}0.113{col 54}{space 4}-8.831137{col 67}{space 3} .9416943
{txt}{space 8}112  {c |}{col 14}{res}{space 2}-6.013036{col 26}{space 2} 2.467079{col 37}{space 1}   -2.44{col 46}{space 3}0.016{col 54}{space 4}-10.88482{col 67}{space 3}-1.141256
{txt}{space 8}114  {c |}{col 14}{res}{space 2} 18.84806{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{space 8}115  {c |}{col 14}{res}{space 2}-2.941211{col 26}{space 2} 2.474292{col 37}{space 1}   -1.19{col 46}{space 3}0.236{col 54}{space 4}-7.827234{col 67}{space 3} 1.944812
{txt}{space 8}116  {c |}{col 14}{res}{space 2}-6.954532{col 26}{space 2} 2.493796{col 37}{space 1}   -2.79{col 46}{space 3}0.006{col 54}{space 4}-11.87907{col 67}{space 3}-2.029995
{txt}{space 8}117  {c |}{col 14}{res}{space 2}-11.56228{col 26}{space 2} 2.596615{col 37}{space 1}   -4.45{col 46}{space 3}0.000{col 54}{space 4}-16.68986{col 67}{space 3}-6.434706
{txt}{space 8}120  {c |}{col 14}{res}{space 2}-6.418924{col 26}{space 2} 2.484872{col 37}{space 1}   -2.58{col 46}{space 3}0.011{col 54}{space 4}-11.32584{col 67}{space 3}-1.512008
{txt}{space 8}122  {c |}{col 14}{res}{space 2}-5.293771{col 26}{space 2} 2.489386{col 37}{space 1}   -2.13{col 46}{space 3}0.035{col 54}{space 4} -10.2096{col 67}{space 3} -.377942
{txt}{space 8}123  {c |}{col 14}{res}{space 2}-1.532832{col 26}{space 2} 2.531978{col 37}{space 1}   -0.61{col 46}{space 3}0.546{col 54}{space 4}-6.532769{col 67}{space 3} 3.467105
{txt}{space 8}128  {c |}{col 14}{res}{space 2}-5.254368{col 26}{space 2} 2.468542{col 37}{space 1}   -2.13{col 46}{space 3}0.035{col 54}{space 4}-10.12904{col 67}{space 3}-.3796993
{txt}{space 8}129  {c |}{col 14}{res}{space 2}-6.298146{col 26}{space 2} 2.464061{col 37}{space 1}   -2.56{col 46}{space 3}0.012{col 54}{space 4}-11.16397{col 67}{space 3}-1.432326
{txt}{space 8}133  {c |}{col 14}{res}{space 2} 18.12215{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{space 8}134  {c |}{col 14}{res}{space 2}-9.861205{col 26}{space 2} 2.449656{col 37}{space 1}   -4.03{col 46}{space 3}0.000{col 54}{space 4}-14.69858{col 67}{space 3} -5.02383
{txt}{space 8}139  {c |}{col 14}{res}{space 2}-3.944721{col 26}{space 2} 2.474491{col 37}{space 1}   -1.59{col 46}{space 3}0.113{col 54}{space 4}-8.831137{col 67}{space 3} .9416943
{txt}{space 8}140  {c |}{col 14}{res}{space 2}-1.085348{col 26}{space 2} 2.557936{col 37}{space 1}   -0.42{col 46}{space 3}0.672{col 54}{space 4}-6.136544{col 67}{space 3} 3.965848
{txt}{space 8}142  {c |}{col 14}{res}{space 2}-9.426642{col 26}{space 2} 2.495835{col 37}{space 1}   -3.78{col 46}{space 3}0.000{col 54}{space 4}-14.35521{col 67}{space 3}-4.498078
{txt}{space 8}143  {c |}{col 14}{res}{space 2}-5.514601{col 26}{space 2} 2.467569{col 37}{space 1}   -2.23{col 46}{space 3}0.027{col 54}{space 4}-10.38735{col 67}{space 3}-.6418538
{txt}{space 8}148  {c |}{col 14}{res}{space 2} -5.82845{col 26}{space 2} 2.488864{col 37}{space 1}   -2.34{col 46}{space 3}0.020{col 54}{space 4}-10.74325{col 67}{space 3}-.9136504
{txt}{space 8}151  {c |}{col 14}{res}{space 2}-2.580015{col 26}{space 2} 2.525372{col 37}{space 1}   -1.02{col 46}{space 3}0.308{col 54}{space 4}-7.566906{col 67}{space 3} 2.406876
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 11.00174{col 26}{space 2} 1.921494{col 37}{space 1}    5.73{col 46}{space 3}0.000{col 54}{space 4} 7.207337{col 67}{space 3} 14.79615
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
      /sigma {c |}{col 14}{res}{space 2} 3.108602{col 26}{space 2} .1974087{col 54}{space 4} 2.718776{col 67}{space 3} 3.498428
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}            24{txt}  left-censored observations at p1 <= {res}0
           144{txt}     uncensored observations
{res}            47{txt} right-censored observations at p1 >= {res}10
{txt}
{com}. tobit p1 copid##corace i.id if pid_da==1, ul ll
{res}
{txt}Tobit regression{col 49}Number of obs{col 67}= {res}       379
{txt}{col 49}LR chi2({res}83{txt}){col 67}= {res}    453.81
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-667.06702{txt}{col 49}Pseudo R2{col 67}= {res}    0.2538

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          p1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.copid {c |}{col 14}{res}{space 2} 1.947751{col 26}{space 2}  .404131{col 37}{space 1}    4.82{col 46}{space 3}0.000{col 54}{space 4} 1.152417{col 67}{space 3} 2.743085
{txt}{space 4}1.corace {c |}{col 14}{res}{space 2}-.4881253{col 26}{space 2} .4042639{col 37}{space 1}   -1.21{col 46}{space 3}0.228{col 54}{space 4}-1.283721{col 67}{space 3} .3074704
{txt}{space 12} {c |}
copid#corace {c |}
{space 8}1 1  {c |}{col 14}{res}{space 2} .3538699{col 26}{space 2} .5737743{col 37}{space 1}    0.62{col 46}{space 3}0.538{col 54}{space 4}-.7753242{col 67}{space 3} 1.483064
{txt}{space 12} {c |}
{space 10}id {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-2.909418{col 26}{space 2} 1.855048{col 37}{space 1}   -1.57{col 46}{space 3}0.118{col 54}{space 4}-6.560172{col 67}{space 3} .7413375
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-3.659418{col 26}{space 2} 1.855048{col 37}{space 1}   -1.97{col 46}{space 3}0.049{col 54}{space 4}-7.310172{col 67}{space 3}-.0086625
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-7.159418{col 26}{space 2} 1.855048{col 37}{space 1}   -3.86{col 46}{space 3}0.000{col 54}{space 4}-10.81017{col 67}{space 3}-3.508663
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-3.409418{col 26}{space 2} 1.855048{col 37}{space 1}   -1.84{col 46}{space 3}0.067{col 54}{space 4}-7.060172{col 67}{space 3} .2413375
{txt}{space 10}8  {c |}{col 14}{res}{space 2} 18.04258{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-4.411012{col 26}{space 2} 1.992017{col 37}{space 1}   -2.21{col 46}{space 3}0.028{col 54}{space 4}-8.331324{col 67}{space 3}-.4907014
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-5.409418{col 26}{space 2} 1.855048{col 37}{space 1}   -2.92{col 46}{space 3}0.004{col 54}{space 4}-9.060172{col 67}{space 3}-1.758663
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-1.409418{col 26}{space 2} 1.855048{col 37}{space 1}   -0.76{col 46}{space 3}0.448{col 54}{space 4}-5.060172{col 67}{space 3} 2.241337
{txt}{space 9}13  {c |}{col 14}{res}{space 2}-6.820104{col 26}{space 2} 1.937301{col 37}{space 1}   -3.52{col 46}{space 3}0.000{col 54}{space 4}-10.63273{col 67}{space 3}-3.007475
{txt}{space 9}14  {c |}{col 14}{res}{space 2}-3.409418{col 26}{space 2} 1.855048{col 37}{space 1}   -1.84{col 46}{space 3}0.067{col 54}{space 4}-7.060172{col 67}{space 3} .2413375
{txt}{space 9}16  {c |}{col 14}{res}{space 2}-6.723426{col 26}{space 2} 1.876187{col 37}{space 1}   -3.58{col 46}{space 3}0.000{col 54}{space 4}-10.41578{col 67}{space 3}-3.031069
{txt}{space 9}18  {c |}{col 14}{res}{space 2} 18.04258{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{space 9}19  {c |}{col 14}{res}{space 2}-3.409926{col 26}{space 2} 1.924805{col 37}{space 1}   -1.77{col 46}{space 3}0.077{col 54}{space 4}-7.197962{col 67}{space 3} .3781104
{txt}{space 9}20  {c |}{col 14}{res}{space 2} 17.59918{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{space 9}23  {c |}{col 14}{res}{space 2}-6.985961{col 26}{space 2} 1.877549{col 37}{space 1}   -3.72{col 46}{space 3}0.000{col 54}{space 4}  -10.681{col 67}{space 3}-3.290924
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-5.409418{col 26}{space 2} 1.855048{col 37}{space 1}   -2.92{col 46}{space 3}0.004{col 54}{space 4}-9.060172{col 67}{space 3}-1.758663
{txt}{space 9}25  {c |}{col 14}{res}{space 2}-3.905983{col 26}{space 2} 1.868741{col 37}{space 1}   -2.09{col 46}{space 3}0.037{col 54}{space 4}-7.583685{col 67}{space 3}-.2282811
{txt}{space 9}26  {c |}{col 14}{res}{space 2}-5.409418{col 26}{space 2} 1.855048{col 37}{space 1}   -2.92{col 46}{space 3}0.004{col 54}{space 4}-9.060172{col 67}{space 3}-1.758663
{txt}{space 9}27  {c |}{col 14}{res}{space 2} 18.04258{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-3.409418{col 26}{space 2} 1.855048{col 37}{space 1}   -1.84{col 46}{space 3}0.067{col 54}{space 4}-7.060172{col 67}{space 3} .2413375
{txt}{space 9}32  {c |}{col 14}{res}{space 2}-4.909418{col 26}{space 2} 1.855048{col 37}{space 1}   -2.65{col 46}{space 3}0.009{col 54}{space 4}-8.560172{col 67}{space 3}-1.258663
{txt}{space 9}33  {c |}{col 14}{res}{space 2}-.4094175{col 26}{space 2} 1.855048{col 37}{space 1}   -0.22{col 46}{space 3}0.825{col 54}{space 4}-4.060172{col 67}{space 3} 3.241337
{txt}{space 9}34  {c |}{col 14}{res}{space 2}-2.320341{col 26}{space 2} 1.888292{col 37}{space 1}   -1.23{col 46}{space 3}0.220{col 54}{space 4}-6.036519{col 67}{space 3} 1.395838
{txt}{space 9}35  {c |}{col 14}{res}{space 2}-3.910456{col 26}{space 2} 1.868319{col 37}{space 1}   -2.09{col 46}{space 3}0.037{col 54}{space 4}-7.587328{col 67}{space 3}-.2335843
{txt}{space 9}36  {c |}{col 14}{res}{space 2}-4.909418{col 26}{space 2} 1.855048{col 37}{space 1}   -2.65{col 46}{space 3}0.009{col 54}{space 4}-8.560172{col 67}{space 3}-1.258663
{txt}{space 9}39  {c |}{col 14}{res}{space 2}-3.409418{col 26}{space 2} 1.855048{col 37}{space 1}   -1.84{col 46}{space 3}0.067{col 54}{space 4}-7.060172{col 67}{space 3} .2413375
{txt}{space 9}41  {c |}{col 14}{res}{space 2} 18.04258{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{space 9}42  {c |}{col 14}{res}{space 2} 18.14453{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{space 9}43  {c |}{col 14}{res}{space 2}-2.909418{col 26}{space 2} 1.855048{col 37}{space 1}   -1.57{col 46}{space 3}0.118{col 54}{space 4}-6.560172{col 67}{space 3} .7413375
{txt}{space 9}44  {c |}{col 14}{res}{space 2}-1.409418{col 26}{space 2} 1.855048{col 37}{space 1}   -0.76{col 46}{space 3}0.448{col 54}{space 4}-5.060172{col 67}{space 3} 2.241337
{txt}{space 9}48  {c |}{col 14}{res}{space 2} 18.04258{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{space 9}49  {c |}{col 14}{res}{space 2}-2.409418{col 26}{space 2} 1.855048{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-6.060172{col 67}{space 3} 1.241337
{txt}{space 9}51  {c |}{col 14}{res}{space 2}-4.909418{col 26}{space 2} 1.855048{col 37}{space 1}   -2.65{col 46}{space 3}0.009{col 54}{space 4}-8.560172{col 67}{space 3}-1.258663
{txt}{space 9}52  {c |}{col 14}{res}{space 2}-3.409418{col 26}{space 2} 1.855048{col 37}{space 1}   -1.84{col 46}{space 3}0.067{col 54}{space 4}-7.060172{col 67}{space 3} .2413375
{txt}{space 9}53  {c |}{col 14}{res}{space 2}-1.695434{col 26}{space 2} 1.917854{col 37}{space 1}   -0.88{col 46}{space 3}0.377{col 54}{space 4}-5.469792{col 67}{space 3} 2.078924
{txt}{space 9}54  {c |}{col 14}{res}{space 2}-4.659418{col 26}{space 2} 1.855048{col 37}{space 1}   -2.51{col 46}{space 3}0.013{col 54}{space 4}-8.310172{col 67}{space 3}-1.008663
{txt}{space 9}55  {c |}{col 14}{res}{space 2}-5.659418{col 26}{space 2} 1.855048{col 37}{space 1}   -3.05{col 46}{space 3}0.002{col 54}{space 4}-9.310172{col 67}{space 3}-2.008663
{txt}{space 9}56  {c |}{col 14}{res}{space 2} 18.04258{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{space 9}57  {c |}{col 14}{res}{space 2}-1.409418{col 26}{space 2} 1.855048{col 37}{space 1}   -0.76{col 46}{space 3}0.448{col 54}{space 4}-5.060172{col 67}{space 3} 2.241337
{txt}{space 9}58  {c |}{col 14}{res}{space 2}-7.409418{col 26}{space 2} 1.855048{col 37}{space 1}   -3.99{col 46}{space 3}0.000{col 54}{space 4}-11.06017{col 67}{space 3}-3.758663
{txt}{space 9}59  {c |}{col 14}{res}{space 2}-3.409418{col 26}{space 2} 1.855048{col 37}{space 1}   -1.84{col 46}{space 3}0.067{col 54}{space 4}-7.060172{col 67}{space 3} .2413375
{txt}{space 9}60  {c |}{col 14}{res}{space 2}-3.409418{col 26}{space 2} 1.855048{col 37}{space 1}   -1.84{col 46}{space 3}0.067{col 54}{space 4}-7.060172{col 67}{space 3} .2413375
{txt}{space 9}61  {c |}{col 14}{res}{space 2}-1.909418{col 26}{space 2} 1.855048{col 37}{space 1}   -1.03{col 46}{space 3}0.304{col 54}{space 4}-5.560172{col 67}{space 3} 1.741337
{txt}{space 9}62  {c |}{col 14}{res}{space 2}-1.920023{col 26}{space 2} 1.867574{col 37}{space 1}   -1.03{col 46}{space 3}0.305{col 54}{space 4}-5.595429{col 67}{space 3} 1.755382
{txt}{space 9}63  {c |}{col 14}{res}{space 2}-4.220338{col 26}{space 2} 1.876113{col 37}{space 1}   -2.25{col 46}{space 3}0.025{col 54}{space 4}-7.912548{col 67}{space 3}-.5281283
{txt}{space 9}65  {c |}{col 14}{res}{space 2}-4.409418{col 26}{space 2} 1.855048{col 37}{space 1}   -2.38{col 46}{space 3}0.018{col 54}{space 4}-8.060172{col 67}{space 3}-.7586625
{txt}{space 9}66  {c |}{col 14}{res}{space 2} 18.04258{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{space 9}69  {c |}{col 14}{res}{space 2} 18.04258{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{space 9}70  {c |}{col 14}{res}{space 2}-3.659418{col 26}{space 2} 1.855048{col 37}{space 1}   -1.97{col 46}{space 3}0.049{col 54}{space 4}-7.310172{col 67}{space 3}-.0086625
{txt}{space 9}72  {c |}{col 14}{res}{space 2} -6.07654{col 26}{space 2} 1.888277{col 37}{space 1}   -3.22{col 46}{space 3}0.001{col 54}{space 4}-9.792689{col 67}{space 3}-2.360391
{txt}{space 9}73  {c |}{col 14}{res}{space 2}-3.409418{col 26}{space 2} 1.855048{col 37}{space 1}   -1.84{col 46}{space 3}0.067{col 54}{space 4}-7.060172{col 67}{space 3} .2413375
{txt}{space 9}74  {c |}{col 14}{res}{space 2}-4.976978{col 26}{space 2} 1.877022{col 37}{space 1}   -2.65{col 46}{space 3}0.008{col 54}{space 4}-8.670977{col 67}{space 3}-1.282978
{txt}{space 9}76  {c |}{col 14}{res}{space 2}-1.409418{col 26}{space 2} 1.855048{col 37}{space 1}   -0.76{col 46}{space 3}0.448{col 54}{space 4}-5.060172{col 67}{space 3} 2.241337
{txt}{space 9}78  {c |}{col 14}{res}{space 2} .1736913{col 26}{space 2} 1.977079{col 37}{space 1}    0.09{col 46}{space 3}0.930{col 54}{space 4}-3.717221{col 67}{space 3} 4.064604
{txt}{space 9}79  {c |}{col 14}{res}{space 2}-2.099064{col 26}{space 2} 1.889555{col 37}{space 1}   -1.11{col 46}{space 3}0.268{col 54}{space 4}-5.817729{col 67}{space 3} 1.619601
{txt}{space 9}80  {c |}{col 14}{res}{space 2}-5.129474{col 26}{space 2} 1.919824{col 37}{space 1}   -2.67{col 46}{space 3}0.008{col 54}{space 4}-8.907707{col 67}{space 3}-1.351241
{txt}{space 9}81  {c |}{col 14}{res}{space 2}-5.409418{col 26}{space 2} 1.855048{col 37}{space 1}   -2.92{col 46}{space 3}0.004{col 54}{space 4}-9.060172{col 67}{space 3}-1.758663
{txt}{space 9}82  {c |}{col 14}{res}{space 2}-3.409418{col 26}{space 2} 1.855048{col 37}{space 1}   -1.84{col 46}{space 3}0.067{col 54}{space 4}-7.060172{col 67}{space 3} .2413375
{txt}{space 9}84  {c |}{col 14}{res}{space 2}-24.73778{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{space 9}85  {c |}{col 14}{res}{space 2}-24.73778{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{space 9}87  {c |}{col 14}{res}{space 2}-7.799202{col 26}{space 2} 1.933856{col 37}{space 1}   -4.03{col 46}{space 3}0.000{col 54}{space 4}-11.60505{col 67}{space 3}-3.993353
{txt}{space 9}88  {c |}{col 14}{res}{space 2}-1.406178{col 26}{space 2}  1.92115{col 37}{space 1}   -0.73{col 46}{space 3}0.465{col 54}{space 4}-5.187022{col 67}{space 3} 2.374665
{txt}{space 9}89  {c |}{col 14}{res}{space 2}-8.220857{col 26}{space 2} 1.905741{col 37}{space 1}   -4.31{col 46}{space 3}0.000{col 54}{space 4}-11.97138{col 67}{space 3}-4.470338
{txt}{space 9}91  {c |}{col 14}{res}{space 2}-1.162072{col 26}{space 2} 1.911229{col 37}{space 1}   -0.61{col 46}{space 3}0.544{col 54}{space 4}-4.923391{col 67}{space 3} 2.599247
{txt}{space 9}93  {c |}{col 14}{res}{space 2}-4.659418{col 26}{space 2} 1.855048{col 37}{space 1}   -2.51{col 46}{space 3}0.013{col 54}{space 4}-8.310172{col 67}{space 3}-1.008663
{txt}{space 9}94  {c |}{col 14}{res}{space 2}-3.409418{col 26}{space 2} 1.855048{col 37}{space 1}   -1.84{col 46}{space 3}0.067{col 54}{space 4}-7.060172{col 67}{space 3} .2413375
{txt}{space 9}99  {c |}{col 14}{res}{space 2} .9134531{col 26}{space 2}  1.95636{col 37}{space 1}    0.47{col 46}{space 3}0.641{col 54}{space 4}-2.936684{col 67}{space 3}  4.76359
{txt}{space 8}100  {c |}{col 14}{res}{space 2}-2.934865{col 26}{space 2} 1.866213{col 37}{space 1}   -1.57{col 46}{space 3}0.117{col 54}{space 4}-6.607593{col 67}{space 3} .7378623
{txt}{space 8}101  {c |}{col 14}{res}{space 2}-3.409418{col 26}{space 2} 1.855048{col 37}{space 1}   -1.84{col 46}{space 3}0.067{col 54}{space 4}-7.060172{col 67}{space 3} .2413375
{txt}{space 8}103  {c |}{col 14}{res}{space 2}-3.409418{col 26}{space 2} 1.855048{col 37}{space 1}   -1.84{col 46}{space 3}0.067{col 54}{space 4}-7.060172{col 67}{space 3} .2413375
{txt}{space 8}107  {c |}{col 14}{res}{space 2}-4.409418{col 26}{space 2} 1.855048{col 37}{space 1}   -2.38{col 46}{space 3}0.018{col 54}{space 4}-8.060172{col 67}{space 3}-.7586625
{txt}{space 8}108  {c |}{col 14}{res}{space 2}-3.659418{col 26}{space 2} 1.855048{col 37}{space 1}   -1.97{col 46}{space 3}0.049{col 54}{space 4}-7.310172{col 67}{space 3}-.0086625
{txt}{space 8}109  {c |}{col 14}{res}{space 2}-7.164803{col 26}{space 2} 1.898932{col 37}{space 1}   -3.77{col 46}{space 3}0.000{col 54}{space 4}-10.90192{col 67}{space 3}-3.427683
{txt}{space 8}113  {c |}{col 14}{res}{space 2} 1.311996{col 26}{space 2} 2.100653{col 37}{space 1}    0.62{col 46}{space 3}0.533{col 54}{space 4}-2.822111{col 67}{space 3} 5.446104
{txt}{space 8}118  {c |}{col 14}{res}{space 2}-5.659418{col 26}{space 2} 1.855048{col 37}{space 1}   -3.05{col 46}{space 3}0.002{col 54}{space 4}-9.310172{col 67}{space 3}-2.008663
{txt}{space 8}119  {c |}{col 14}{res}{space 2}-7.391433{col 26}{space 2} 1.896068{col 37}{space 1}   -3.90{col 46}{space 3}0.000{col 54}{space 4}-11.12292{col 67}{space 3}-3.659951
{txt}{space 8}121  {c |}{col 14}{res}{space 2}-4.659418{col 26}{space 2} 1.855048{col 37}{space 1}   -2.51{col 46}{space 3}0.013{col 54}{space 4}-8.310172{col 67}{space 3}-1.008663
{txt}{space 8}124  {c |}{col 14}{res}{space 2}-2.617149{col 26}{space 2} 1.876499{col 37}{space 1}   -1.39{col 46}{space 3}0.164{col 54}{space 4} -6.31012{col 67}{space 3} 1.075822
{txt}{space 8}125  {c |}{col 14}{res}{space 2}-3.409418{col 26}{space 2} 1.855048{col 37}{space 1}   -1.84{col 46}{space 3}0.067{col 54}{space 4}-7.060172{col 67}{space 3} .2413375
{txt}{space 8}126  {c |}{col 14}{res}{space 2}-7.164803{col 26}{space 2} 1.898932{col 37}{space 1}   -3.77{col 46}{space 3}0.000{col 54}{space 4}-10.90192{col 67}{space 3}-3.427683
{txt}{space 8}127  {c |}{col 14}{res}{space 2}-5.409418{col 26}{space 2} 1.855048{col 37}{space 1}   -2.92{col 46}{space 3}0.004{col 54}{space 4}-9.060172{col 67}{space 3}-1.758663
{txt}{space 8}130  {c |}{col 14}{res}{space 2}-1.826314{col 26}{space 2} 1.876888{col 37}{space 1}   -0.97{col 46}{space 3}0.331{col 54}{space 4} -5.52005{col 67}{space 3} 1.867423
{txt}{space 8}131  {c |}{col 14}{res}{space 2} -7.99992{col 26}{space 2} 1.909299{col 37}{space 1}   -4.19{col 46}{space 3}0.000{col 54}{space 4}-11.75744{col 67}{space 3}  -4.2424
{txt}{space 8}132  {c |}{col 14}{res}{space 2}-5.909418{col 26}{space 2} 1.855048{col 37}{space 1}   -3.19{col 46}{space 3}0.002{col 54}{space 4}-9.560172{col 67}{space 3}-2.258663
{txt}{space 8}135  {c |}{col 14}{res}{space 2}-2.323773{col 26}{space 2} 2.025838{col 37}{space 1}   -1.15{col 46}{space 3}0.252{col 54}{space 4}-6.310644{col 67}{space 3} 1.663098
{txt}{space 8}136  {c |}{col 14}{res}{space 2} 18.04258{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{space 8}137  {c |}{col 14}{res}{space 2}-4.159418{col 26}{space 2} 1.855048{col 37}{space 1}   -2.24{col 46}{space 3}0.026{col 54}{space 4}-7.810172{col 67}{space 3}-.5086625
{txt}{space 8}138  {c |}{col 14}{res}{space 2}-3.409926{col 26}{space 2} 1.924805{col 37}{space 1}   -1.77{col 46}{space 3}0.077{col 54}{space 4}-7.197962{col 67}{space 3} .3781104
{txt}{space 8}141  {c |}{col 14}{res}{space 2}-7.164803{col 26}{space 2} 1.898932{col 37}{space 1}   -3.77{col 46}{space 3}0.000{col 54}{space 4}-10.90192{col 67}{space 3}-3.427683
{txt}{space 8}144  {c |}{col 14}{res}{space 2}-6.820104{col 26}{space 2} 1.937301{col 37}{space 1}   -3.52{col 46}{space 3}0.000{col 54}{space 4}-10.63273{col 67}{space 3}-3.007475
{txt}{space 8}145  {c |}{col 14}{res}{space 2}-3.409926{col 26}{space 2} 1.924805{col 37}{space 1}   -1.77{col 46}{space 3}0.077{col 54}{space 4}-7.197962{col 67}{space 3} .3781104
{txt}{space 8}146  {c |}{col 14}{res}{space 2} 18.04258{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{space 8}147  {c |}{col 14}{res}{space 2}-2.344974{col 26}{space 2} 1.874887{col 37}{space 1}   -1.25{col 46}{space 3}0.212{col 54}{space 4}-6.034773{col 67}{space 3} 1.344824
{txt}{space 8}149  {c |}{col 14}{res}{space 2} 18.04258{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{space 8}150  {c |}{col 14}{res}{space 2}-6.820104{col 26}{space 2} 1.937301{col 37}{space 1}   -3.52{col 46}{space 3}0.000{col 54}{space 4}-10.63273{col 67}{space 3}-3.007475
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 7.591137{col 26}{space 2} 1.387188{col 37}{space 1}    5.47{col 46}{space 3}0.000{col 54}{space 4} 4.861136{col 67}{space 3} 10.32114
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
      /sigma {c |}{col 14}{res}{space 2} 2.505275{col 26}{space 2} .1179261{col 54}{space 4} 2.273195{col 67}{space 3} 2.737355
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}            40{txt}  left-censored observations at p1 <= {res}0
           255{txt}     uncensored observations
{res}            84{txt} right-censored observations at p1 >= {res}10
{txt}
{com}. 
. 
. ***Figure SM3
. xtreg p1 copid##corace##pid_da , re
{res}
{txt}Random-effects GLS regression                   Number of obs     = {res}       594
{txt}Group variable: {res}id                              {txt}Number of groups  = {res}       151

{txt}R-sq:                                           Obs per group:
     within  = {res}0.0856                                         {txt}min = {res}         1
{txt}     between = {res}0.0050                                         {txt}avg = {res}       3.9
{txt}     overall = {res}0.0375                                         {txt}max = {res}         4

                                                {txt}Wald chi2({res}7{txt})      =  {res}    41.42
{txt}corr(u_i, X)   = {res}0{txt} (assumed)                    Prob > chi2       =     {res}0.0000

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                 p1{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}1.copid {c |}{col 21}{res}{space 2} .3333333{col 33}{space 2} .4639294{col 44}{space 1}    0.72{col 53}{space 3}0.472{col 61}{space 4}-.5759515{col 74}{space 3} 1.242618
{txt}{space 11}1.corace {c |}{col 21}{res}{space 2}-.6395944{col 33}{space 2} .4694594{col 44}{space 1}   -1.36{col 53}{space 3}0.173{col 61}{space 4}-1.559718{col 74}{space 3} .2805292
{txt}{space 19} {c |}
{space 7}copid#corace {c |}
{space 15}1 1  {c |}{col 21}{res}{space 2} .2457909{col 33}{space 2} .6592584{col 44}{space 1}    0.37{col 53}{space 3}0.709{col 61}{space 4}-1.046332{col 74}{space 3} 1.537914
{txt}{space 19} {c |}
{space 13}pid_da {c |}
{space 4}DA Identifiers  {c |}{col 21}{res}{space 2} -.173349{col 33}{space 2} .5725164{col 44}{space 1}   -0.30{col 53}{space 3}0.762{col 61}{space 4}-1.295461{col 74}{space 3} .9487626
{txt}{space 19} {c |}
{space 7}copid#pid_da {c |}
{space 2}1#DA Identifiers  {c |}{col 21}{res}{space 2} 1.010417{col 33}{space 2} .5799117{col 44}{space 1}    1.74{col 53}{space 3}0.081{col 61}{space 4}-.1261894{col 74}{space 3} 2.147023
{txt}{space 19} {c |}
{space 6}corace#pid_da {c |}
{space 2}1#DA Identifiers  {c |}{col 21}{res}{space 2} .2602263{col 33}{space 2} .5850247{col 44}{space 1}    0.44{col 53}{space 3}0.656{col 61}{space 4}-.8864011{col 74}{space 3} 1.406854
{txt}{space 19} {c |}
copid#corace#pid_da {c |}
1#1#DA Identifiers  {c |}{col 21}{res}{space 2} -.014433{col 33}{space 2} .8251363{col 44}{space 1}   -0.02{col 53}{space 3}0.986{col 61}{space 4} -1.63167{col 74}{space 3} 1.602804
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 4.715016{col 33}{space 2} .4576544{col 44}{space 1}   10.30{col 53}{space 3}0.000{col 61}{space 4} 3.818029{col 74}{space 3} 5.612002
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            sigma_u {c |} {res} 2.3456579
            {txt}sigma_e {c |} {res} 2.4006105
                {txt}rho {c |} {res} .48842348{txt}   (fraction of variance due to u_i)
{hline 20}{c BT}{hline 64}

{com}.   margins, dydx(copid) at(pid_da=(0(1)1) corace=(0(1)1))
{res}
{txt}Conditional marginal effects{col 49}Number of obs{col 67}= {res}       594
{txt}Model VCE{col 14}: {res}Conventional

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.copid}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:corace}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid_da}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:corace}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid_da}{space 10}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:corace}{space 10}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid_da}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:corace}{space 10}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid_da}{space 10}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1.copid      {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .3333333{col 26}{space 2} .4639294{col 37}{space 1}    0.72{col 46}{space 3}0.472{col 54}{space 4}-.5759515{col 67}{space 3} 1.242618
{txt}{space 10}2  {c |}{col 14}{res}{space 2}  1.34375{col 26}{space 2}  .347947{col 37}{space 1}    3.86{col 46}{space 3}0.000{col 54}{space 4} .6617864{col 67}{space 3} 2.025714
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .5791242{col 26}{space 2} .4683921{col 37}{space 1}    1.24{col 46}{space 3}0.216{col 54}{space 4}-.3389075{col 67}{space 3} 1.497156
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 1.575108{col 26}{space 2} .3537812{col 37}{space 1}    4.45{col 46}{space 3}0.000{col 54}{space 4} .8817095{col 67}{space 3} 2.268506
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}.  marginsplot

{text}{p 2 6 2}Variables that uniquely identify margins: pid_da corace{p_end}
{res}{txt}
{com}. 
. 
. ****comparison of anonymous game between Study 1 and 2--shows outgroup derigation by DA identifiers, not ingroup favoritism
.         gen anon=0
{txt}
{com}. replace anon=1 if copid==. & corace==.
{txt}(151 real changes made)

{com}. replace copid=0 if copid==.
{txt}(151 real changes made)

{com}. replace corace=0 if corace==.
{txt}(151 real changes made)

{com}. 
. 
. mean p1 if anon==1 & pid_da==1
{res}
{txt}Mean estimation{col 35}Number of obs{col 51}= {res}        96

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 14}{c |}       Mean{col 26}   Std. Err.{col 38}     [95% Con{col 51}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{space 10}p1 {c |}{col 14}{res}{space 2} 6.052083{col 26}{space 2} .2838372{col 37}{space 5} 5.488595{col 51}{space 3} 6.615571
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}

{com}. mean p1 if copid==1 & pid_da==1
{res}
{txt}Mean estimation{col 35}Number of obs{col 51}= {res}       188

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 14}{c |}       Mean{col 26}   Std. Err.{col 38}     [95% Con{col 51}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{space 10}p1 {c |}{col 14}{res}{space 2} 5.781915{col 26}{space 2}  .230513{col 37}{space 5} 5.327175{col 51}{space 3} 6.236655
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}

{com}. mean p1 if copid==0 & pid_da==1
{res}
{txt}Mean estimation{col 35}Number of obs{col 51}= {res}       287

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 14}{c |}       Mean{col 26}   Std. Err.{col 38}     [95% Con{col 51}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{space 10}p1 {c |}{col 14}{res}{space 2} 4.909408{col 26}{space 2} .1937614{col 37}{space 5} 4.528028{col 51}{space 3} 5.290787
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}

{com}. 
. mean p1 if anon==1 & pid_da==0
{res}
{txt}Mean estimation{col 35}Number of obs{col 51}= {res}        55

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 14}{c |}       Mean{col 26}   Std. Err.{col 38}     [95% Con{col 51}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{space 10}p1 {c |}{col 14}{res}{space 2} 5.890909{col 26}{space 2} .4261429{col 37}{space 5} 5.036544{col 51}{space 3} 6.745274
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}

{com}. mean p1 if copid==1 & pid_da==0
{res}
{txt}Mean estimation{col 35}Number of obs{col 51}= {res}       109

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 14}{c |}       Mean{col 26}   Std. Err.{col 38}     [95% Con{col 51}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{space 10}p1 {c |}{col 14}{res}{space 2} 4.825688{col 26}{space 2} .3401055{col 37}{space 5}  4.15154{col 51}{space 3} 5.499836
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}

{com}. mean p1 if copid==0 & pid_da==0
{res}
{txt}Mean estimation{col 35}Number of obs{col 51}= {res}       161

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 14}{c |}       Mean{col 26}   Std. Err.{col 38}     [95% Con{col 51}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{space 10}p1 {c |}{col 14}{res}{space 2} 4.888199{col 26}{space 2} .2758378{col 37}{space 5} 4.343446{col 51}{space 3} 5.432951
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}

{com}. 
. 
.         xtreg p1 anon copid##corace , fe
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}       745
{txt}Group variable: {res}id{txt}{col 49}Number of groups{col 67}={col 69}{res}       151

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0909{col 63}{txt}min{col 67}={col 69}{res}         2
{txt}     between = {res}0.0201{col 63}{txt}avg{col 67}={col 69}{res}       4.9
{txt}     overall = {res}0.0411{col 63}{txt}max{col 67}={col 69}{res}         5

{txt}{col 49}F({res}4{txt},{res}590{txt}){col 67}={col 70}{res}    14.74
{txt}corr(u_i, Xb){col 16}= {res}0.0046{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          p1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}anon {c |}{col 14}{res}{space 2} 1.377809{col 26}{space 2} .2735318{col 37}{space 1}    5.04{col 46}{space 3}0.000{col 54}{space 4} .8405944{col 67}{space 3} 1.915023
{txt}{space 5}1.copid {c |}{col 14}{res}{space 2}      .98{col 26}{space 2} .2737585{col 37}{space 1}    3.58{col 46}{space 3}0.000{col 54}{space 4} .4423403{col 67}{space 3}  1.51766
{txt}{space 4}1.corace {c |}{col 14}{res}{space 2}-.4680865{col 26}{space 2} .2754989{col 37}{space 1}   -1.70{col 46}{space 3}0.090{col 54}{space 4}-1.009164{col 67}{space 3} .0729915
{txt}{space 12} {c |}
copid#corace {c |}
{space 8}1 1  {c |}{col 14}{res}{space 2} .2085587{col 26}{space 2} .3898808{col 37}{space 1}    0.53{col 46}{space 3}0.593{col 54}{space 4}-.5571644{col 67}{space 3} .9742818
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 4.586376{col 26}{space 2} .1936729{col 37}{space 1}   23.68{col 46}{space 3}0.000{col 54}{space 4} 4.206004{col 67}{space 3} 4.966748
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 2.5396728
     {txt}sigma_e {c |} {res} 2.3708181
         {txt}rho {c |} {res} .53434591{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
F test that all u_i=0: F({res}150{txt}, {res}590{txt}) = {res}5.60{col 62}{txt}Prob > F = {res}0.0000
{txt}
{com}.         margins, at(anon=(0) copid=(0 1)) pwcompare(effects)
{res}
{txt}Pairwise comparisons of predictive margins
Model VCE{col 14}: {res}Conventional

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:anon}{space 12}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:copid}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:anon}{space 12}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:copid}{space 11}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method{col 37}    Una{col 46}djusted{col 54}          Una{col 67}djusted
{col 14}{c |}   Contrast{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 5}2 vs 1  {c |}{col 14}{res}{space 2} 1.062304{col 26}{space 2} .1986608{col 37}{space 1}    5.35{col 46}{space 3}0.000{col 54}{space 4} .6729358{col 67}{space 3} 1.451672
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         
.         xtreg p1 anon copid##corace if pid_da==0, fe
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}       270
{txt}Group variable: {res}id{txt}{col 49}Number of groups{col 67}={col 69}{res}        55

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0610{col 63}{txt}min{col 67}={col 69}{res}         2
{txt}     between = {res}0.0342{col 63}{txt}avg{col 67}={col 69}{res}       4.9
{txt}     overall = {res}0.0292{col 63}{txt}max{col 67}={col 69}{res}         5

{txt}{col 49}F({res}4{txt},{res}211{txt}){col 67}={col 70}{res}     3.43
{txt}corr(u_i, Xb){col 16}= {res}0.0056{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0097

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          p1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}anon {c |}{col 14}{res}{space 2}   1.1367{col 26}{space 2} .4968114{col 37}{space 1}    2.29{col 46}{space 3}0.023{col 54}{space 4} .1573507{col 67}{space 3}  2.11605
{txt}{space 5}1.copid {c |}{col 14}{res}{space 2} .3333333{col 26}{space 2} .4979444{col 37}{space 1}    0.67{col 46}{space 3}0.504{col 54}{space 4}-.6482498{col 67}{space 3} 1.314916
{txt}{space 4}1.corace {c |}{col 14}{res}{space 2}-.6381766{col 26}{space 2} .5038937{col 37}{space 1}   -1.27{col 46}{space 3}0.207{col 54}{space 4}-1.631488{col 67}{space 3} .3551343
{txt}{space 12} {c |}
copid#corace {c |}
{space 8}1 1  {c |}{col 14}{res}{space 2}   .20518{col 26}{space 2} .7076231{col 37}{space 1}    0.29{col 46}{space 3}0.772{col 54}{space 4}-1.189737{col 67}{space 3} 1.600097
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 4.707956{col 26}{space 2} .3524281{col 37}{space 1}   13.36{col 46}{space 3}0.000{col 54}{space 4} 4.013225{col 67}{space 3} 5.402687
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 2.6429682
     {txt}sigma_e {c |} {res} 2.5873948
         {txt}rho {c |} {res} .51062395{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
F test that all u_i=0: F({res}54{txt}, {res}211{txt}) = {res}5.01{col 62}{txt}Prob > F = {res}0.0000
{txt}
{com}.         margins, at(anon=(0) copid=(0 1)) pwcompare(effects)
{res}
{txt}Pairwise comparisons of predictive margins
Model VCE{col 14}: {res}Conventional

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:anon}{space 12}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:copid}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:anon}{space 12}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:copid}{space 11}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method{col 37}    Una{col 46}djusted{col 54}          Una{col 67}djusted
{col 14}{c |}   Contrast{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 5}2 vs 1  {c |}{col 14}{res}{space 2} .4146454{col 26}{space 2} .3606473{col 37}{space 1}    1.15{col 46}{space 3}0.250{col 54}{space 4}-.2922103{col 67}{space 3} 1.121501
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
.         
.         xtreg p1 anon copid##corace if pid_da==1, fe
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}       475
{txt}Group variable: {res}id{txt}{col 49}Number of groups{col 67}={col 69}{res}        96

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.1307{col 63}{txt}min{col 67}={col 69}{res}         4
{txt}     between = {res}0.0056{col 63}{txt}avg{col 67}={col 69}{res}       4.9
{txt}     overall = {res}0.0566{col 63}{txt}max{col 67}={col 69}{res}         5

{txt}{col 49}F({res}4{txt},{res}375{txt}){col 67}={col 70}{res}    14.09
{txt}corr(u_i, Xb){col 16}= {res}0.0023{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          p1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}anon {c |}{col 14}{res}{space 2} 1.510417{col 26}{space 2} .3217441{col 37}{space 1}    4.69{col 46}{space 3}0.000{col 54}{space 4}  .877768{col 67}{space 3} 2.143065
{txt}{space 5}1.copid {c |}{col 14}{res}{space 2}  1.34375{col 26}{space 2} .3217441{col 37}{space 1}    4.18{col 46}{space 3}0.000{col 54}{space 4} .7111013{col 67}{space 3} 1.976399
{txt}{space 4}1.corace {c |}{col 14}{res}{space 2}-.3685597{col 26}{space 2} .3228007{col 37}{space 1}   -1.14{col 46}{space 3}0.254{col 54}{space 4}-1.003286{col 67}{space 3} .2661667
{txt}{space 12} {c |}
copid#corace {c |}
{space 8}1 1  {c |}{col 14}{res}{space 2} .2233357{col 26}{space 2} .4588545{col 37}{space 1}    0.49{col 46}{space 3}0.627{col 54}{space 4}-.6789146{col 67}{space 3} 1.125586
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 4.519471{col 26}{space 2} .2275645{col 37}{space 1}   19.86{col 46}{space 3}0.000{col 54}{space 4} 4.072009{col 67}{space 3} 4.966934
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 2.4858046
     {txt}sigma_e {c |} {res} 2.2291084
         {txt}rho {c |} {res} .55428256{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
F test that all u_i=0: F({res}95{txt}, {res}375{txt}) = {res}6.12{col 62}{txt}Prob > F = {res}0.0000
{txt}
{com}.         margins, at(anon=(0) copid=(0 1)) pwcompare(effects)
{res}
{txt}Pairwise comparisons of predictive margins
Model VCE{col 14}: {res}Conventional

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:anon}{space 12}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:copid}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:anon}{space 12}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:copid}{space 11}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method{col 37}    Una{col 46}djusted{col 54}          Una{col 67}djusted
{col 14}{c |}   Contrast{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 5}2 vs 1  {c |}{col 14}{res}{space 2} 1.431674{col 26}{space 2} .2337598{col 37}{space 1}    6.12{col 46}{space 3}0.000{col 54}{space 4}  .973513{col 67}{space 3} 1.889835
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
.         
.         **mean ticket allocations Table SM 1
. 
. sort pid_anc
{txt}
{com}. 
. sum p1 if anon==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 10}p1 {c |}{res}        151    5.993377    2.915468          0         10
{txt}
{com}. by pid_anc: sum p1 if anon==1

{txt}{hline}
-> pid_anc = DA Identifiers

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 10}p1 {c |}{res}         96    6.052083    2.781025          0         10

{txt}{hline}
-> pid_anc = ANC Identifiers

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 10}p1 {c |}{res}         55    5.890909    3.160361          0         10

{txt}
{com}. sum p1 if anc_black==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 10}p1 {c |}{res}        745    5.112752    3.357012          0         10
{txt}
{com}. by pid_anc: sum p1 if anc_black==1

{txt}{hline}
-> pid_anc = DA Identifiers

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 10}p1 {c |}{res}        475    5.254737    3.259578          0         10

{txt}{hline}
-> pid_anc = ANC Identifiers

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 10}p1 {c |}{res}        270    4.862963     3.51414          0         10

{txt}
{com}. sum p1 if anc_white==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 10}p1 {c |}{res}        745    5.112752    3.357012          0         10
{txt}
{com}. by pid_anc: sum p1 if anc_white==1

{txt}{hline}
-> pid_anc = DA Identifiers

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 10}p1 {c |}{res}        475    5.254737    3.259578          0         10

{txt}{hline}
-> pid_anc = ANC Identifiers

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 10}p1 {c |}{res}        270    4.862963     3.51414          0         10

{txt}
{com}. sum p1 if da_black==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 10}p1 {c |}{res}        745    5.112752    3.357012          0         10
{txt}
{com}. by pid_anc: sum p1 if da_black==1

{txt}{hline}
-> pid_anc = DA Identifiers

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 10}p1 {c |}{res}        475    5.254737    3.259578          0         10

{txt}{hline}
-> pid_anc = ANC Identifiers

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 10}p1 {c |}{res}        270    4.862963     3.51414          0         10

{txt}
{com}. sum p1 if da_white==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 10}p1 {c |}{res}        745    5.112752    3.357012          0         10
{txt}
{com}. by pid_anc: sum p1 if da_white==1

{txt}{hline}
-> pid_anc = DA Identifiers

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 10}p1 {c |}{res}        475    5.254737    3.259578          0         10

{txt}{hline}
-> pid_anc = ANC Identifiers

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 10}p1 {c |}{res}        270    4.862963     3.51414          0         10

{txt}
{com}. 
. 
.         
. ****ticket distrubtions figrues SM2
. 
. graph bar if anon==1, over(p1) by(, title("Anonymous Game" , size(medsmall))) by(, graphregion(margin(zero) fcolor(white) lcolor(white) lwidth(none) ifcolor(white) ilcolor(white) ilwidth(none))) by(pid_anc)
{res}{txt}
{com}. graph save Graph "anon_dist.gph", replace
{res}{txt}(file anon_dist.gph saved)

{com}. 
. graph bar if anc_black==1, over(p1) by(, title("ANC-Black Game", size(medsmall))) by(, graphregion(margin(zero) fcolor(white) lcolor(white) lwidth(none) ifcolor(white) ilcolor(white) ilwidth(none))) by(pid_anc)
{res}{txt}
{com}. graph save Graph "anc-black_dist.gph", replace
{res}{txt}(file anc-black_dist.gph saved)

{com}. graph bar if da_black==1, over(p1) by(, title("DA-Black Game", size(medsmall))) by(, graphregion(margin(zero) fcolor(white) lcolor(white) lwidth(none) ifcolor(white) ilcolor(white) ilwidth(none))) by(pid_anc)
{res}{txt}
{com}. graph save Graph "da-black_dist.gph", replace
{res}{txt}(file da-black_dist.gph saved)

{com}. graph bar if anc_white==1 , over(p1) by(, title("ANC-White Game", size(medsmall))) by(, graphregion(margin(zero) fcolor(white) lcolor(white) lwidth(none) ifcolor(white) ilcolor(white) ilwidth(none))) by(pid_anc)
{res}{txt}
{com}. graph save Graph "anc-white_dist.gph", replace
{res}{txt}(file anc-white_dist.gph saved)

{com}. graph bar if da_white==1, over(p1) by(, title("ANC-Black Game", size(medsmall))) by(, graphregion(margin(zero) fcolor(white) lcolor(white) lwidth(none) ifcolor(white) ilcolor(white) ilwidth(none))) by(pid_anc)
{res}{txt}
{com}. graph save Graph "anc-black_dist.gph", replace
{res}{txt}(file anc-black_dist.gph saved)

{com}. 
. graph combine "anon_dist.gph" "anc-black_dist.gph" "da-black_dist.gph" "anc-white_dist.gph" "anc-black_dist.gph"
{res}{txt}
{com}. 
. 
. 
.         
.  
.  ***Player 2 SM6 and SM7
.  
. use "study 2 player 2 data.dta", clear
{txt}
{com}. 
. pwcorr race pid

             {txt}{c |}     race      pid
{hline 13}{c +}{hline 18}
        race {c |} {res}  1.0000 
         {txt}pid {c |} {res}  0.8556   1.0000 
{txt}
{com}. 
. reg p2 copid##corace

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       507
{txt}{hline 13}{c +}{hline 34}   F(3, 503)       = {res}     1.53
{txt}       Model {c |} {res} .313197449         3   .10439915   {txt}Prob > F        ={res}    0.2057
{txt}    Residual {c |} {res} 34.3117032       503  .068214122   {txt}R-squared       ={res}    0.0090
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0031
{txt}       Total {c |} {res} 34.6249007       506  .068428657   {txt}Root MSE        =   {res} .26118

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          p2{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.copid {c |}{col 14}{res}{space 2} .0502011{col 26}{space 2} .0329064{col 37}{space 1}    1.53{col 46}{space 3}0.128{col 54}{space 4}-.0144499{col 67}{space 3}  .114852
{txt}{space 4}1.corace {c |}{col 14}{res}{space 2}  .027795{col 26}{space 2} .0328426{col 37}{space 1}    0.85{col 46}{space 3}0.398{col 54}{space 4}-.0367306{col 67}{space 3} .0923205
{txt}{space 12} {c |}
copid#corace {c |}
{space 8}1 1  {c |}{col 14}{res}{space 2} -.011645{col 26}{space 2} .0463991{col 37}{space 1}   -0.25{col 46}{space 3}0.802{col 54}{space 4}-.1028048{col 67}{space 3} .0795149
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .2748375{col 26}{space 2} .0233605{col 37}{space 1}   11.77{col 46}{space 3}0.000{col 54}{space 4} .2289413{col 67}{space 3} .3207337
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg p2 copid##corace, cl(id)

{txt}Linear regression                               Number of obs     = {res}       507
                                                {txt}F(3, 127)         =  {res}     3.34
                                                {txt}Prob > F          = {res}    0.0215
                                                {txt}R-squared         = {res}    0.0090
                                                {txt}Root MSE          =    {res} .26118

{txt}{ralign 78:(Std. Err. adjusted for {res:128} clusters in id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          p2{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.copid {c |}{col 14}{res}{space 2} .0502011{col 26}{space 2} .0264097{col 37}{space 1}    1.90{col 46}{space 3}0.060{col 54}{space 4} -.002059{col 67}{space 3} .1024612
{txt}{space 4}1.corace {c |}{col 14}{res}{space 2}  .027795{col 26}{space 2} .0193172{col 37}{space 1}    1.44{col 46}{space 3}0.153{col 54}{space 4}-.0104302{col 67}{space 3} .0660201
{txt}{space 12} {c |}
copid#corace {c |}
{space 8}1 1  {c |}{col 14}{res}{space 2} -.011645{col 26}{space 2} .0328349{col 37}{space 1}   -0.35{col 46}{space 3}0.723{col 54}{space 4}-.0766194{col 67}{space 3} .0533295
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .2748375{col 26}{space 2} .0238119{col 37}{space 1}   11.54{col 46}{space 3}0.000{col 54}{space 4}  .227718{col 67}{space 3} .3219569
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. xtreg p2 copid##corace , fe
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}       507
{txt}Group variable: {res}id{txt}{col 49}Number of groups{col 67}={col 69}{res}       128

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0289{col 63}{txt}min{col 67}={col 69}{res}         3
{txt}     between = {res}0.0070{col 63}{txt}avg{col 67}={col 69}{res}       4.0
{txt}     overall = {res}0.0090{col 63}{txt}max{col 67}={col 69}{res}         4

{txt}{col 49}F({res}3{txt},{res}376{txt}){col 67}={col 70}{res}     3.73
{txt}corr(u_i, Xb){col 16}= {res}-0.0060{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0115

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          p2{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.copid {c |}{col 14}{res}{space 2} .0519302{col 26}{space 2} .0221511{col 37}{space 1}    2.34{col 46}{space 3}0.020{col 54}{space 4} .0083746{col 67}{space 3} .0954857
{txt}{space 4}1.corace {c |}{col 14}{res}{space 2} .0301121{col 26}{space 2} .0220932{col 37}{space 1}    1.36{col 46}{space 3}0.174{col 54}{space 4}-.0133296{col 67}{space 3} .0735538
{txt}{space 12} {c |}
copid#corace {c |}
{space 8}1 1  {c |}{col 14}{res}{space 2}-.0117147{col 26}{space 2} .0312024{col 37}{space 1}   -0.38{col 46}{space 3}0.708{col 54}{space 4}-.0730677{col 67}{space 3} .0496383
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .2728233{col 26}{space 2} .0157213{col 37}{space 1}   17.35{col 46}{space 3}0.000{col 54}{space 4} .2419105{col 67}{space 3} .3037361
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .21274694
     {txt}sigma_e {c |} {res}  .1753482
         {txt}rho {c |} {res} .59547825{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
F test that all u_i=0: F({res}127{txt}, {res}376{txt}) = {res}5.83{col 62}{txt}Prob > F = {res}0.0000
{txt}
{com}. margins, dydx(copid) 
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       507
{txt}Model VCE{col 14}: {res}Conventional

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.copid}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.copid {c |}{col 14}{res}{space 2} .0460381{col 26}{space 2} .0156012{col 37}{space 1}    2.95{col 46}{space 3}0.003{col 54}{space 4} .0154604{col 67}{space 3} .0766159
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(corace) 
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       507
{txt}Model VCE{col 14}: {res}Conventional

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.corace}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.corace {c |}{col 14}{res}{space 2} .0242432{col 26}{space 2} .0156011{col 37}{space 1}    1.55{col 46}{space 3}0.120{col 54}{space 4}-.0063345{col 67}{space 3} .0548208
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. xtreg p2 copid##corace if pid==1, fe
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}       201
{txt}Group variable: {res}id{txt}{col 49}Number of groups{col 67}={col 69}{res}        51

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0265{col 63}{txt}min{col 67}={col 69}{res}         3
{txt}     between = {res}0.0164{col 63}{txt}avg{col 67}={col 69}{res}       3.9
{txt}     overall = {res}0.0080{col 63}{txt}max{col 67}={col 69}{res}         4

{txt}{col 49}F({res}3{txt},{res}147{txt}){col 67}={col 70}{res}     1.33
{txt}corr(u_i, Xb){col 16}= {res}0.0000{txt}{col 49}Prob > F{col 67}={col 73}{res}0.2664

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          p2{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.copid {c |}{col 14}{res}{space 2}-.0384378{col 26}{space 2} .0349564{col 37}{space 1}   -1.10{col 46}{space 3}0.273{col 54}{space 4}-.1075197{col 67}{space 3} .0306441
{txt}{space 4}1.corace {c |}{col 14}{res}{space 2} .0274206{col 26}{space 2} .0349564{col 37}{space 1}    0.78{col 46}{space 3}0.434{col 54}{space 4}-.0416613{col 67}{space 3} .0965025
{txt}{space 12} {c |}
copid#corace {c |}
{space 8}1 1  {c |}{col 14}{res}{space 2} .0216879{col 26}{space 2} .0489389{col 37}{space 1}    0.44{col 46}{space 3}0.658{col 54}{space 4}-.0750268{col 67}{space 3} .1184026
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .3458039{col 26}{space 2} .0251052{col 37}{space 1}   13.77{col 46}{space 3}0.000{col 54}{space 4} .2961901{col 67}{space 3} .3954177
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .23103891
     {txt}sigma_e {c |} {res} .17295453
         {txt}rho {c |} {res}  .6408637{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
F test that all u_i=0: F({res}50{txt}, {res}147{txt}) = {res}7.00{col 62}{txt}Prob > F = {res}0.0000
{txt}
{com}. margins, dydx(copid) 
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       201
{txt}Model VCE{col 14}: {res}Conventional

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.copid}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.copid {c |}{col 14}{res}{space 2} -.027432{col 26}{space 2} .0244647{col 37}{space 1}   -1.12{col 46}{space 3}0.262{col 54}{space 4} -.075382{col 67}{space 3}  .020518
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(corace) 
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       201
{txt}Model VCE{col 14}: {res}Conventional

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.corace}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.corace {c |}{col 14}{res}{space 2} .0384264{col 26}{space 2} .0244647{col 37}{space 1}    1.57{col 46}{space 3}0.116{col 54}{space 4}-.0095236{col 67}{space 3} .0863764
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. xtreg p2 copid##corace if pid==2, fe
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}       306
{txt}Group variable: {res}id{txt}{col 49}Number of groups{col 67}={col 69}{res}        77

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0965{col 63}{txt}min{col 67}={col 69}{res}         3
{txt}     between = {res}0.0043{col 63}{txt}avg{col 67}={col 69}{res}       4.0
{txt}     overall = {res}0.0362{col 63}{txt}max{col 67}={col 69}{res}         4

{txt}{col 49}F({res}3{txt},{res}226{txt}){col 67}={col 70}{res}     8.05
{txt}corr(u_i, Xb){col 16}= {res}-0.0031{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          p2{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.copid {c |}{col 14}{res}{space 2} .1103976{col 26}{space 2} .0278183{col 37}{space 1}    3.97{col 46}{space 3}0.000{col 54}{space 4} .0555813{col 67}{space 3} .1652139
{txt}{space 4}1.corace {c |}{col 14}{res}{space 2} .0299114{col 26}{space 2}  .027697{col 37}{space 1}    1.08{col 46}{space 3}0.281{col 54}{space 4} -.024666{col 67}{space 3} .0844889
{txt}{space 12} {c |}
copid#corace {c |}
{space 8}1 1  {c |}{col 14}{res}{space 2}-.0322136{col 26}{space 2} .0393417{col 37}{space 1}   -0.82{col 46}{space 3}0.414{col 54}{space 4}-.1097371{col 67}{space 3} .0453098
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .2264867{col 26}{space 2}   .01959{col 37}{space 1}   11.56{col 46}{space 3}0.000{col 54}{space 4} .1878843{col 67}{space 3}  .265089
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .19804139
     {txt}sigma_e {c |} {res}  .1718556
         {txt}rho {c |} {res}  .5704391{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
F test that all u_i=0: F({res}76{txt}, {res}226{txt}) = {res}5.29{col 62}{txt}Prob > F = {res}0.0000
{txt}
{com}. margins, dydx(copid) 
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       306
{txt}Model VCE{col 14}: {res}Conventional

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.copid}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.copid {c |}{col 14}{res}{space 2} .0942908{col 26}{space 2} .0196701{col 37}{space 1}    4.79{col 46}{space 3}0.000{col 54}{space 4} .0557381{col 67}{space 3} .1328435
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. margins, dydx(corace) 
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       306
{txt}Model VCE{col 14}: {res}Conventional

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.corace}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.corace {c |}{col 14}{res}{space 2} .0139099{col 26}{space 2} .0196701{col 37}{space 1}    0.71{col 46}{space 3}0.479{col 54}{space 4}-.0246429{col 67}{space 3} .0524627
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. 
. anova p2 copid##corace id, repeated(copid corace)

                         {txt}Number of obs = {res}       507    {txt}R-squared     ={res}  0.6661
                         {txt}Root MSE      =   {res} .175348    {txt}Adj R-squared ={res}  0.5507

                  {txt}Source {c |} Partial SS         df         MS        F    Prob>F
            {hline 13}{c +}{hline 52}
                   Model {c |} {res} 23.064032        130   .17741563      5.77  0.0000
                         {txt}{c |}
                   copid {c |} {res} .26813451          1   .26813451      8.72  0.0033
{txt}                  corace {c |} {res} .07431574          1   .07431574      2.42  0.1209
{txt}            copid#corace {c |} {res} .00433401          1   .00433401      0.14  0.7075
{txt}                      id {c |} {res} 22.750834        127   .17914043      5.83  0.0000
                         {txt}{c |}
                Residual {c |} {res} 11.560869        376   .03074699  
            {txt}{hline 13}{c +}{hline 52}
                   Total {c |} {res} 34.624901        506   .06842866  


{txt}Between-subjects error term:  id
                     Levels:  {res}128       {txt}({res}127{txt} df)
     Lowest b.s.e. variable:  id

Repeated variable: copid
                                          Huynh-Feldt epsilon        = {res} 1.0000
                                          {txt}Greenhouse-Geisser epsilon = {res} 1.0000
                                          {txt}Box's conservative epsilon = {res} 1.0000

                                            {txt}{hline 12} Prob > F {hline 12}
                  Source {c |}     df      F    Regular    H-F      G-G      Box
            {hline 13}{c +}{hline 52}
                   copid {c |} {res}     1     8.72   0.0033   0.0033   0.0033   0.0033
{txt}                Residual {c |} {res}   376
            {txt}{hline 13}{c BT}{hline 52}

Repeated variable: corace
                                          Huynh-Feldt epsilon        = {res} 1.0000
                                          {txt}Greenhouse-Geisser epsilon = {res} 1.0000
                                          {txt}Box's conservative epsilon = {res} 1.0000

                                            {txt}{hline 12} Prob > F {hline 12}
                  Source {c |}     df      F    Regular    H-F      G-G      Box
            {hline 13}{c +}{hline 52}
                  corace {c |} {res}     1     2.42   0.1209   0.1209   0.1209   0.1209
{txt}                Residual {c |} {res}   376
            {txt}{hline 13}{c BT}{hline 52}

Repeated variables: copid#corace
                                          Huynh-Feldt epsilon        = {res} 1.0000
                                          {txt}Greenhouse-Geisser epsilon = {res} 1.0000
                                          {txt}Box's conservative epsilon = {res} 1.0000

                                            {txt}{hline 12} Prob > F {hline 12}
                  Source {c |}     df      F    Regular    H-F      G-G      Box
            {hline 13}{c +}{hline 52}
            copid#corace {c |} {res}     1     0.14   0.7075   0.7075   0.7075   0.7075
{txt}                Residual {c |} {res}   376
            {txt}{hline 13}{c BT}{hline 52}

{com}. test (_b[1.copid] == _b[0.copid])
{res}
{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0b.copid + 1.copid = 0{p_end}

{txt}       F(  1,   376) ={res}    5.50
{txt}{col 13}Prob > F ={res}    0.0196
{txt}
{com}. anova p2 copid##corace

                         {txt}Number of obs = {res}       507    {txt}R-squared     ={res}  0.0090
                         {txt}Root MSE      =   {res} .261178    {txt}Adj R-squared ={res}  0.0031

                  {txt}Source {c |} Partial SS         df         MS        F    Prob>F
            {hline 13}{c +}{hline 52}
                   Model {c |} {res} .31319745          3   .10439915      1.53  0.2057
                         {txt}{c |}
                   copid {c |} {res} .24961049          1   .24961049      3.66  0.0563
{txt}                  corace {c |} {res} .06118914          1   .06118914      0.90  0.3440
{txt}            copid#corace {c |} {res} .00429667          1   .00429667      0.06  0.8019
                         {txt}{c |}
                Residual {c |} {res} 34.311703        503   .06821412  
            {txt}{hline 13}{c +}{hline 52}
                   Total {c |} {res} 34.624901        506   .06842866  
{txt}
{com}. test (_b[1.copid] == _b[0.copid])
{res}
{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0b.copid + 1.copid = 0{p_end}

{txt}       F(  1,   503) ={res}    2.33
{txt}{col 13}Prob > F ={res}    0.1277
{txt}
{com}. 
. mean p2 , over(game_num pid)
{res}
{txt}Mean estimation{col 35}Number of obs{col 51}= {res}       630

         {txt}Over: game_num pid
    _subpop_1: {res}anc_black 1
    {txt}_subpop_2: {res}anc_black 2
    {txt}_subpop_3: {res}anc_white 1
    {txt}_subpop_4: {res}anc_white 2
    {txt}_subpop_5: {res}anon 1
    {txt}_subpop_6: {res}anon 2
    {txt}_subpop_7: {res}da_black 1
    {txt}_subpop_8: {res}da_black 2
    {txt}_subpop_9: {res}da_white 1
   {txt}_subpop_10: {res}da_white 2

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 1}        Over{col 14}{c |}       Mean{col 26}   Std. Err.{col 38}     [95% Con{col 51}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{res}p2           {txt}{c |}
{space 3}_subpop_1 {c |}{col 14}{res}{space 2} .3505029{col 26}{space 2} .0398953{col 37}{space 5} .2721587{col 51}{space 3}  .428847
{txt}{space 3}_subpop_2 {c |}{col 14}{res}{space 2} .2284027{col 26}{space 2} .0260538{col 37}{space 5} .1772398{col 51}{space 3} .2795657
{txt}{space 3}_subpop_3 {c |}{col 14}{res}{space 2}   .30984{col 26}{space 2} .0339934{col 37}{space 5} .2430857{col 51}{space 3} .3765943
{txt}{space 3}_subpop_4 {c |}{col 14}{res}{space 2}  .255756{col 26}{space 2} .0270721{col 37}{space 5} .2025934{col 51}{space 3} .3089186
{txt}{space 3}_subpop_5 {c |}{col 14}{res}{space 2} .2784868{col 26}{space 2} .0339503{col 37}{space 5} .2118171{col 51}{space 3} .3451565
{txt}{space 3}_subpop_6 {c |}{col 14}{res}{space 2}  .315458{col 26}{space 2}  .021259{col 37}{space 5} .2737107{col 51}{space 3} .3572053
{txt}{space 3}_subpop_7 {c |}{col 14}{res}{space 2} .3644061{col 26}{space 2} .0386123{col 37}{space 5} .2885815{col 51}{space 3} .4402307
{txt}{space 3}_subpop_8 {c |}{col 14}{res}{space 2} .3443052{col 26}{space 2} .0312476{col 37}{space 5} .2829429{col 51}{space 3} .4056675
{txt}{space 3}_subpop_9 {c |}{col 14}{res}{space 2} .3588898{col 26}{space 2} .0425674{col 37}{space 5} .2752984{col 51}{space 3} .4424811
{txt}{space 2}_subpop_10 {c |}{col 14}{res}{space 2}   .32611{col 26}{space 2} .0287982{col 37}{space 5} .2695577{col 51}{space 3} .3826623
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}

{com}. 
. 
. drop game_num
{txt}
{com}. drop copid corace
{txt}
{com}. reshape wide p2, i(id) j(game) string
{txt}(note: j = anc_black anc_white anon da_black da_white)

Data{col 36}long{col 43}->{col 48}wide
{hline 77}
Number of obs.                 {res}    1405   {txt}->{res}     281
{txt}Number of variables            {res}       6   {txt}->{res}       9
{txt}j variable (5 values)              {res}game   {txt}->   (dropped)
xij variables:
                                     {res}p2   {txt}->   {res}p2anc_black p2anc_white ... p2da_white
{txt}{hline 77}

{com}. egen anc_mean=rowmean(p2anc_black p2anc_white)
{txt}(153 missing values generated)

{com}. egen da_mean=rowmean(p2da_black p2da_white)
{txt}(153 missing values generated)

{com}. ttest anc_mean= p2anon  if pid==2

{txt}Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
anc_mean {c |}{res}{col 12}     77{col 22} .2420793{col 34} .0242879{col 46} .2131251{col 58} .1937059{col 70} .2904528
  {txt}p2anon {c |}{res}{col 12}     77{col 22}  .315458{col 34}  .021259{col 46} .1865473{col 58}  .273117{col 70}  .357799
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}     77{col 22}-.0733786{col 34} .0231994{col 46}  .203574{col 58}-.1195843{col 70} -.027173
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}anc_mean{txt} - {res}p2anon{txt})                         t = {res} -3.1630
{txt} Ho: mean(diff) = 0                              degrees of freedom = {res}      76

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.0011         {txt}Pr(|T| > |t|) = {res}0.0022          {txt}Pr(T > t) = {res}0.9989
{txt}
{com}. 
. 
. 
{txt}end of do-file

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/gregorylove/Dropbox/jeps submission/R&R Efforts/Final Jan'19/data/JEPS Log file.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res} 9 Jan 2019, 14:13:17
{txt}{.-}
{smcl}
{txt}{sf}{ul off}